Tootfinder

reality_mining: Reality mining proximity network (2004)
A network of human proximities among students at Massachusetts Institute of Technology (MIT), as measured by personal mobile phones. Nodes represent people (students from the Media Lab and the Sloan Business School) and an edge connects a pair if the two devices made a Bluetooth handshake at the time. Edges are timestamped.
This network has 96 nodes and 1086404 edges.
Tags: Social, Offline, Unweighted, Timestamps

Unlearning-Enhanced Website Fingerprinting Attack: Against Backdoor Poisoning in Anonymous Networks
Yali Yuan, Kai Xu, Ruolin Ma, Yuchen Zhang
https://arxiv.org/abs/2506.13563

Unlearning-Enhanced Website Fingerprinting Attack: Against Backdoor Poisoning in Anonymous Networks
Website Fingerprinting (WF) is an effective tool for regulating and governing the dark web. However, its performance can be significantly degraded by backdoor poisoning attacks in practical deployments. This paper aims to address the problem of hidden backdoor poisoning attacks faced by Website Fingerprinting attack, and designs a feasible mothed that integrates unlearning technology to realize detection of automatic poisoned points and complete removal of its destructive effects, requiring onl…

Power in Sharing Networks with a priori Unions
Michele Aleandri, Francesco Ciardiello, Andrea Di Liddo
https://arxiv.org/abs/2507.13272 https://

Power in Sharing Networks with a priori Unions
We introduce and analyze a novel family of power indices tailored for sharing networks in technological markets, where firms operate competitively within, but not across, distinct industrial sectors. In these settings, inter-firm collaboration structures emerge from formal technology licensing agreements. The proposed indices are defined over graphs with a priori unions and combine two key centrality measures - degree-based and rescaled eigenvector centrality - modulated by positive market coef…

An Integrated Sensing and Communication System for Time-Sensitive Targets with Random Arrivals
Homa Nikbakht, Yonina C. Eldar, H. Vincent Poor
https://arxiv.org/abs/2506.15045

An Integrated Sensing and Communication System for Time-Sensitive Targets with Random Arrivals
In 6G networks, integrated sensing and communication (ISAC) is envisioned as a key technology that enables wireless systems to perform joint sensing and communication using shared hardware, antennas and spectrum. ISAC designs facilitate emerging applications such as smart cities and autonomous driving. Such applications also demand ultra-reliable and low-latency communication (URLLC). Thus, an ISAC-enabled URLLC system can prioritize time-sensitive targets and ensure information delivery under …

Unmodulated Visible Light Positioning: A Deep Dive into Techniques, Studies, and Future Prospects
Morteza Alijani, Wout Joseph, David Plets
https://arxiv.org/abs/2507.13080

Unmodulated Visible Light Positioning: A Deep Dive into Techniques, Studies, and Future Prospects
Visible Light Positioning (VLP) has emerged as a promising technology for next-generation indoor positioning systems (IPS), particularly within the scope of sixth-generation (6G) wireless networks. Its attractiveness stems from leveraging existing lighting infrastructures equipped with light-emitting diodes (LEDs), enabling cost-efficient deployments and achieving high-precision positioning accuracy in the centimeter-todecimeter range. However, widespread adoption of traditional VLP solutions f…

QoS-aware Scheduling of Periodic Real-time Task Graphs on Heterogeneous Pre-occupied MECs
Ashutosh Shankar (Indian Institute Of Technology Kharagpur), Astha Kumari (Indian Institute Of Technology Kharagpur)
https://arxiv.org/abs/2506.12415

QoS-aware Scheduling of Periodic Real-time Task Graphs on Heterogeneous Pre-occupied MECs
In latency-sensitive applications, efficient task scheduling is crucial for maintaining Quality of Service (QoS) while meeting strict timing constraints. This paper addresses the challenge of scheduling periodic tasks structured as directed acyclic graphs (DAGs) within heterogeneous, pre-occupied Mobile Edge Computing (MEC) networks. We propose a modified version of the Heterogeneous Earliest Finish Time (HEFT) algorithm designed to exploit residual processing capacity in preoccupied MEC enviro…

Integrating Terrestrial and Non-Terrestrial Networks for Sustainable 6G Operations: A Latency-Aware Multi-Tier Cell-Switching Approach
Metin Ozturk, Maryam Salamatmoghadasi, Halim Yanikomeroglu
https://arxiv.org/abs/2508.10849

Integrating Terrestrial and Non-Terrestrial Networks for Sustainable 6G Operations: A Latency-Aware Multi-Tier Cell-Switching Approach
Sustainability is paramount in modern cellular networks, which face significant energy consumption challenges from rising mobile traffic and advancements in wireless technology. Cell-switching, well-established in literature as an effective solution, encounters limitations such as inadequate capacity and limited coverage when implemented through terrestrial networks (TN). This study enhances cell-switching by integrating non-terrestrial networks (NTN), including satellites (used for cell-switch…

Watermarking Quantum Neural Networks Based on Sample Grouped and Paired Training
Limengnan Zhou, Hanzhou Wu
https://arxiv.org/abs/2506.12675 https://

Watermarking Quantum Neural Networks Based on Sample Grouped and Paired Training
Quantum neural networks (QNNs) leverage quantum computing to create powerful and efficient artificial intelligence models capable of solving complex problems significantly faster than traditional computers. With the fast development of quantum hardware technology, such as superconducting qubits, trapped ions, and integrated photonics, quantum computers may become reality, accelerating the applications of QNNs. However, preparing quantum circuits and optimizing parameters for QNNs require quantu…

Near-Field SWIPT with gMIMO in the Upper Mid-Band: Opportunities, Challenges, and the Way Forward
\"Ozlem Tugfe Demir, Mustafa Ozger, Ferdi Kara, Woong-Hee Lee, Emil Bj\"ornson
https://arxiv.org/abs/2506.15670

Near-Field SWIPT with gMIMO in the Upper Mid-Band: Opportunities, Challenges, and the Way Forward
This paper explores the integration of simultaneous wireless information and power transfer (SWIPT) with gigantic multiple-input multiple-output (gMIMO) technology operating in the upper mid-band frequency range (7-24 GHz). The near-field propagation achieved by gMIMO introduces unique opportunities for energy-efficient, high-capacity communication systems that cater to the demands of 6G wireless networks. Exploiting spherical wave propagation, near-field SWIPT with gMIMO enables precise energy…

reality_mining: Reality mining proximity network (2004)
A network of human proximities among students at Massachusetts Institute of Technology (MIT), as measured by personal mobile phones. Nodes represent people (students from the Media Lab and the Sloan Business School) and an edge connects a pair if the two devices made a Bluetooth handshake at the time. Edges are timestamped.
This network has 96 nodes and 1086404 edges.
Tags: Social, Offline, Unweighted, Timestamps

Spain-based Multiverse Computing, which makes tools to compress LLMs by up to 95% using "quantum-inspired" networks, raised a €189M Series B and has 100 clients (Julie Bort/TechCrunch)
https://techcrunch.com/2025/06/12/mult

Multiverse Computing raises $215M for tech that could radically slim AI costs | TechCrunch
Spanish startup Multiverse Computing announced that it raised an enormous Series B round on the strength of a technology it calls “CompactifAI.”

@…
You may be interested in this book:
"Other Networks: A Radical Technology Sourcebook"
Lorie Merson
2025 (1000 copy limited printing)
https://lo…

Other Networks: A Radical Technology Sourcebook
Other Networks: A Radical Technology Sourcebook At long last, Other Networks: A Radical Technology Sourcebook is officially available for pre-order. If you live in the U.S., you can order directly …

Traffic Load-Aware Resource Management Strategy for Underwater Wireless Sensor Networks
Tong Zhang, Yu Gou, Jun Liu, Jun-Hong Cui
https://arxiv.org/abs/2508.08555 https://

Traffic Load-Aware Resource Management Strategy for Underwater Wireless Sensor Networks
Underwater Wireless Sensor Networks (UWSNs) represent a promising technology that enables diverse underwater applications through acoustic communication. However, it encounters significant challenges including harsh communication environments, limited energy supply, and restricted signal transmission. This paper aims to provide efficient and reliable communication in underwater networks with limited energy and communication resources by optimizing the scheduling of communication links and adjus…

Unlearning-Enhanced Website Fingerprinting Attack: Against Backdoor Poisoning in Anonymous Networks
Yali Yuan, Kai Xu, Ruolin Ma, Yuchen Zhang
https://arxiv.org/abs/2506.13563

Unlearning-Enhanced Website Fingerprinting Attack: Against Backdoor Poisoning in Anonymous Networks
Website Fingerprinting (WF) is an effective tool for regulating and governing the dark web. However, its performance can be significantly degraded by backdoor poisoning attacks in practical deployments. This paper aims to address the problem of hidden backdoor poisoning attacks faced by Website Fingerprinting attack, and designs a feasible mothed that integrates unlearning technology to realize detection of automatic poisoned points and complete removal of its destructive effects, requiring onl…

reality_mining: Reality mining proximity network (2004)
A network of human proximities among students at Massachusetts Institute of Technology (MIT), as measured by personal mobile phones. Nodes represent people (students from the Media Lab and the Sloan Business School) and an edge connects a pair if the two devices made a Bluetooth handshake at the time. Edges are timestamped.
This network has 96 nodes and 1086404 edges.
Tags: Social, Offline, Unweighted, Timestamps

On secure UAV-aided ISCC systems
Hongjiang Lei, Congke Jiang, Ki-Hong Park, Mohamed A. Aboulhassan, Sen Zhou, Gaofeng Pan
https://arxiv.org/abs/2506.13137 …

On secure UAV-aided ISCC systems
Integrated communication and sensing, which can make full use of the limited spectrum resources to perform communication and sensing tasks simultaneously, is an up-and-coming technology in wireless communication networks. In this work, we investigate the secrecy performance of an uncrewed aerial vehicle (UAV)-assisted secure integrated communication, sensing, and computing system, where the UAV sends radar signals to locate and disrupt potential eavesdroppers while providing offload services to…

Musk tried and failed to enact systemic change across the entire government.
Many tech executives and investors who support Trump have narrower goals that focus on creating a regulatory climate favorable to themselves.
While Trump and Musk traded barbs on their respective social networks,
a cryptocurrency company whose business had been hamstrung by the Biden administration went public on the New York Stock Exchange,
its share price popping 200 percent.
An art…

Musk and Trump are over. Silicon Valley is just getting started.
The Tech-Trump alliance has always had tensions. But its lucrative nature has outweighed the ideological differences.

An Overlapping Coalition Game Approach for Collaborative Block Mining and Edge Task Offloading in MEC-assisted Blockchain Networks
Licheng Ye, Zehui Xiong, Lin Gao, Dusit Niyato
https://arxiv.org/abs/2508.06031

An Overlapping Coalition Game Approach for Collaborative Block Mining and Edge Task Offloading in MEC-assisted Blockchain Networks
Mobile edge computing (MEC) is a promising technology that enhances the efficiency of mobile blockchain networks, by enabling miners, often acted by mobile users (MUs) with limited computing resources, to offload resource-intensive mining tasks to nearby edge computing servers. Collaborative block mining can further boost mining efficiency by allowing multiple miners to form coalitions, pooling their computing resources and transaction data together to mine new blocks collaboratively. Therefore…

Intelligent Metasurface-Enabled Integrated Sensing and Communication: Unified Framework and Key Technologies
Shunyu Li, Tianqi Mao, Guangyao Liu, Fan Zhang, Ruiqi Liu, Meng Hua, Zhen Gao, Qingqing Wu, George K. Karagiannidis
https://arxiv.org/abs/2506.13713

Intelligent Metasurface-Enabled Integrated Sensing and Communication: Unified Framework and Key Technologies
As the demand for ubiquitous connectivity and high-precision environmental awareness grows, integrated sensing and communication (ISAC) has emerged as a key technology for sixth-generation (6G) wireless networks. Intelligent metasurfaces (IMs) have also been widely adopted in ISAC scenarios due to their efficient, programmable control over electromagnetic waves. This provides a versatile solution that meets the dual-function requirements of next-generation networks. Although reconfigurable inte…

Modulator-free transmitter for quantum key distribution in metropolitan area networks
Roman Shakhovoy, Evgeniy Dedkov, Igor Kudryashov
https://arxiv.org/abs/2507.00625

Modulator-free transmitter for quantum key distribution in metropolitan area networks
A positive economic effect from the implementation of quantum key distribution (QKD) technology can be achieved only with significant scaling, which involves the deployment of branched metropolitan area networks. The creation of QKD systems suitable for such networks is an important task for the coming years. This paper considers a method for preparing quantum states using pulsed optical injection, which can be used as a basis for a compact modulator-free transmitter ideally suited for QKD at t…

Age of Information Optimization in Laser-charged UAV-assisted IoT Networks: A Multi-agent Deep Reinforcement Learning Method
Geng Sun, Likun Zhang, Jiahui Li, Jing Wu, Jiacheng Wang, Zemin Sun, Changyuan Zhao, Victor C. M. Leung
https://arxiv.org/abs/2507.08429

Age of Information Optimization in Laser-charged UAV-assisted IoT Networks: A Multi-agent Deep Reinforcement Learning Method
The integration of unmanned aerial vehicles (UAVs) with Internet of Things (IoT) networks offers promising solutions for efficient data collection. However, the limited energy capacity of UAVs remains a significant challenge. In this case, laser beam directors (LBDs) have emerged as an effective technology for wireless charging of UAVs during operation, thereby enabling sustained data collection without frequent returns to charging stations (CSs). In this work, we investigate the age of informa…

My great failure in life is that I never put myself in a position to monetise being this embarrassingly incompetent.
#auspol #australia #government

Pureformer-VC: Non-parallel Voice Conversion with Pure Stylized Transformer Blocks and Triplet Discriminative Training
Wenhan Yao, Fen Xiao, Xiarun Chen, Jia Liu, YongQiang He, Weiping Wen
https://arxiv.org/abs/2506.08348

Pureformer-VC: Non-parallel Voice Conversion with Pure Stylized Transformer Blocks and Triplet Discriminative Training
As a foundational technology for intelligent human-computer interaction, voice conversion (VC) seeks to transform speech from any source timbre into any target timbre. Traditional voice conversion methods based on Generative Adversarial Networks (GANs) encounter significant challenges in precisely encoding diverse speech elements and effectively synthesising these elements into natural-sounding converted speech. To overcome these limitations, we introduce Pureformer-VC, an encoder-decoder frame…

Optimal Placement of Smart Hybrid Transformers in Distribution Networks
Samuel Hayward, Martin Doff-Sotta, Michael Merlin, Matthew Williams, Thomas Morstyn
https://arxiv.org/abs/2507.05967

Optimal Placement of Smart Hybrid Transformers in Distribution Networks
Hybrid transformers are a relatively new technology that combine conventional power transformers with power electronics to provide voltage and reactive power control capabilities in distribution networks. This paper proposes a novel method of determining the optimal location and utilisation of hybrid transformers in 3-phase distribution networks to maximise the net present value of hybrid transformers based on their ability to increase the export of power produced by distributed generators over…

slashdot_zoo: Slashdot Zoo friend-foe network (2009)
A network of interactions among users on Slashdot (slashdot.org), a technology news website. Users name each other as friends or foe. The friend label increases the scores of post, and the foe label decreases the score.
This network has 79120 nodes and 515397 edges.
Tags: Social, Online, Signed

A Survey of End-to-End Modeling for Distributed DNN Training: Workloads, Simulators, and TCO
Jonas Svedas, Hannah Watson, Nathan Laubeuf, Diksha Moolchandani, Abubakr Nada, Arjun Singh, Dwaipayan Biswas, James Myers, Debjyoti Bhattacharjee
https://arxiv.org/abs/2506.09275

A Survey of End-to-End Modeling for Distributed DNN Training: Workloads, Simulators, and TCO
Distributed deep neural networks (DNNs) have become a cornerstone for scaling machine learning to meet the demands of increasingly complex applications. However, the rapid growth in model complexity far outpaces CMOS technology scaling, making sustainable and efficient system design a critical challenge. Addressing this requires coordinated co-design across software, hardware, and technology layers. Due to the prohibitive cost and complexity of deploying full-scale training systems, simulators …

Energy-Oriented Computing Architecture Simulator for SNN Training
Yunhao Ma (Pengcheng Laboratory, Southern University of Science and Technology), Wanyi Jia (Pengcheng Laboratory, Southern University of Science and Technology), Yanyu Lin (Pengcheng Laboratory), Wenjie Lin (Pengcheng Laboratory), Xueke Zhu (Pengcheng Laboratory), Huihui Zhou (Pengcheng Laboratory), Fengwei An (Southern University of Science and Technology)

Energy-Oriented Computing Architecture Simulator for SNN Training
With the growing demand for intelligent computing, neuromorphic computing, a paradigm that mimics the structure and functionality of the human brain, offers a promising approach to developing new high-efficiency intelligent computing systems. Spiking Neural Networks (SNNs), the foundation of neuromorphic computing, have garnered significant attention due to their unique potential in energy efficiency and biomimetic neural processing. However, current hardware development for efficient SNN train…

Adiabatic Capacitive Neuron: An Energy-Efficient Functional Unit for Artificial Neural Networks
Sachin Maheshwari, Mike Smart, Himadri Singh Raghav, Themis Prodromakis, Alexander Serb
https://arxiv.org/abs/2507.00831

Adiabatic Capacitive Neuron: An Energy-Efficient Functional Unit for Artificial Neural Networks
This paper introduces a new, highly energy-efficient, Adiabatic Capacitive Neuron (ACN) hardware implementation of an Artificial Neuron (AN) with improved functionality, accuracy, robustness and scalability over previous work. The paper describes the implementation of a \mbox{12-bit} single neuron, with positive and negative weight support, in an $\mathbf{0.18μm}$ CMOS technology. The paper also presents a new Threshold Logic (TL) design for a binary AN activation function that generates a low…

Flexible MIMO for Future Wireless Communications: Which Flexibilities are Possible?
Zhe Wang, Jiayi Zhang, Bokai Xu, Wenhui Yi, Emil Bj\"ornson, Bo Ai
https://arxiv.org/abs/2506.07599

Flexible MIMO for Future Wireless Communications: Which Flexibilities are Possible?
To enable next-generation wireless communication networks with modest spectrum availability, multiple-input multiple-output (MIMO) technology needs to undergo further evolution. In this paper, we introduce a promising next-generation wireless communication concept: flexible MIMO technology. This technology represents a MIMO technology with flexible physical configurations and integrated applications. We categorize twelve representative flexible MIMO technologies into three major classifications…

reality_mining: Reality mining proximity network (2004)
A network of human proximities among students at Massachusetts Institute of Technology (MIT), as measured by personal mobile phones. Nodes represent people (students from the Media Lab and the Sloan Business School) and an edge connects a pair if the two devices made a Bluetooth handshake at the time. Edges are timestamped.
This network has 96 nodes and 1086404 edges.
Tags: Social, Offline, Unweighted, Timestamps

Datadog is joining the S&P 500, replacing Juniper Networks after HPE acquired Juniper, before trading on July 9; DDOG jumps 10% after hours (Jordan Novet/CNBC)
https://www.cnbc.com/2025/07/02/datadog-stock-jumps-sp-500-index-inclusion.html

Datadog stock jumps 10% on tech company’s inclusion in S&P 500 index
Hewlett Packard Enterprise's closing of its Juniper deal created an opening in the index, which has added several technology companies in recent months.

The QTF-Backbone: Proposal for a Nationwide Optical Fibre Backbone in Germany for Quantum Technology and Time and Frequency Metrology
Klaus Blaum (Max Planck Institute for Nuclear Physics), Peter Kaufmann (German National Research,Education Network, DFN), Jochen Kronj\"ager (Physikalisch-Technische Bundesanstalt), Stefan K\"uck (Physikalisch-Technische Bundesanstalt), Tara Cubel Liebisch (Physikalisch-Technische Bundesanstalt), Dieter Meschede (University of Bonn), Susanne Na…

The QTF-Backbone: Proposal for a Nationwide Optical Fibre Backbone in Germany for Quantum Technology and Time and Frequency Metrology
The recent breakthroughs in the distribution of quantum information and high-precision time and frequency (T&F) signals over long-haul optical fibre networks have transformative potential for physically secure communications, resilience of Global Navigation Satellite Systems (GNSS) and fundamental physics. However, so far these capabilities remain confined to isolated testbeds, with quantum and T&F signals accessible, for example in Germany, to only a few institutions. We propose the QTF-Back…

Thermal Implications of Non-Uniform Power in BSPDN-Enabled 2.5D/3D Chiplet-based Systems-in-Package using Nanosheet Technology
Yukai Chen, Massimiliano Di Todaro, Bjorn Vermeersch, Herman Oprins, Daniele Jahier Pagliari, Julien Ryckaert, Dwaipayan Biswas, James Myers
https://arxiv.org/abs/2508.02284

Thermal Implications of Non-Uniform Power in BSPDN-Enabled 2.5D/3D Chiplet-based Systems-in-Package using Nanosheet Technology
Advances in nanosheet technologies have significantly increased power densities, exacerbating thermal management challenges in 2.5D/3D chiplet-based Systems-in-Package (SiP). While traditional thermal analyses often employ uniform power maps to simplify computational complexity, this practice neglects localized heating effects, leading to inaccuracies in thermal estimations, especially when comparing power delivery networks (PDN) in 3D integration. This work examines the thermal impact of non-u…

Deep Reinforcement Learning-Based RAN Slicing with Efficient Inter-Slice Isolation in Tactical Wireless Networks
Abderrahime Filali, Diala Naboulsi, Georges Kaddoum
https://arxiv.org/abs/2506.09039

Deep Reinforcement Learning-Based RAN Slicing with Efficient Inter-Slice Isolation in Tactical Wireless Networks
The next generation of tactical networks (TNs) is poised to further leverage the key enablers of 5G and beyond 5G (B5G) technology, such as radio access network (RAN) slicing and the open RAN (O-RAN) paradigm, to unlock multiple architectural options and opportunities for a wide range of innovative applications. RAN slicing and the O-RAN paradigm are considered game changers in TNs, where the former makes it possible to tailor user services to users requirements, and the latter brings openness …

Optimized Bistable Vortex Memory Arrays for Superconducting In-Memory Matrix-Vector Multiplication
Mustafa Altay Karamuftuoglu, Changxu Song, Beyza Zeynep Ucpinar, Sasan Razmkhah, Massoud Pedram
https://arxiv.org/abs/2507.04648

Optimized Bistable Vortex Memory Arrays for Superconducting In-Memory Matrix-Vector Multiplication
Building upon previously introduced Bistable Vortex Memory (BVM) as a novel, nonvolatile, high-density, and scalable superconductor memory technology, this work presents a methodology that uses BVM arrays to address challenges in data-driven algorithms and neural networks, specifically focusing on matrix-vector multiplication (MVM). The BVM approach introduces a novel superconductor-based methodology for in-memory arithmetic, achieving ultra-high-speed and energy-efficient computation by utiliz…

Symbolic Foundation Regressor on Complex Networks
Weiting Liu, Jiaxu Cui, Jiao Hu, En Wang, Bo Yang
https://arxiv.org/abs/2505.21879 https://

Symbolic Foundation Regressor on Complex Networks
In science, we are interested not only in forecasting but also in understanding how predictions are made, specifically what the interpretable underlying model looks like. Data-driven machine learning technology can significantly streamline the complex and time-consuming traditional manual process of discovering scientific laws, helping us gain insights into fundamental issues in modern science. In this work, we introduce a pre-trained symbolic foundation regressor that can effectively compress …

Location Privacy-Enabled Beamforming in ISAC Scenarios
Umair Ali Khan, Lester Ho, Holger Claussen, Chinmoy Kundu
https://arxiv.org/abs/2508.09882 https://a…

Location Privacy-Enabled Beamforming in ISAC Scenarios
Integrated sensing and communication (ISAC) technology enables simultaneous environmental perception and data transmission in wireless networks; however, it also exposes user location to receivers. In this paper, we introduce a novel beamforming framework guided by the proposed privacy metric direction of arrival obfuscation ratio (DAOR) to protect transmitter location privacy in ISAC scenarios. Unlike previous approaches, we do not suppress the line-of-sight (LOS) component while reshaping the…

Virtualizing RAN: Science, Strategy, and Architecture of Software-Defined Mobile Networks
Ryan Barker
https://arxiv.org/abs/2506.09878 https://

Virtualizing RAN: Science, Strategy, and Architecture of Software-Defined Mobile Networks
Virtualising the Radio Access Network (RAN) is widely touted as the corner-stone of affordable 5G and a prerequisite for AI-native 6G. Yet current discourse often isolates spectrum policy, cloud engineering and organisational readiness into silos. This paper delivers an integrated analysis that spans science, technology, business strategy and culture. I first review spectrum-auction economics and show-via a comparative study of T-Mobile US and Verizon-that mid-band contiguity leveraged through …

Analysis of Publicly Accessible Operational Technology and Associated Risks
Matthew Rodda, Vasilios Mavroudis
https://arxiv.org/abs/2508.02375 https://arxi…

Analysis of Publicly Accessible Operational Technology and Associated Risks
Operational Technology (OT) is an integral component of critical national infrastructure, enabling automation and control in industries such as energy, manufacturing, and transportation. However, OT networks, systems, and devices have been designed and deployed prioritising functionality rather than security. This leads to inherent vulnerabilities in many deployed systems when operational misconfigurations expose them to the internet. This report provides an up-to-date overview of the OT threat…

Parallel PLL on DAGs
Patrick Steil
https://arxiv.org/abs/2507.21204 https://arxiv.org/pdf/2507.21204

Parallel PLL on DAGs
We present a parallel variant of Pruned Landmark Labelling (PLL) that is optimised for the preprocessing of hub labels on directed acyclic graphs (DAGs). This method was developed during a seminar at the Karlsruhe Institute of Technology (KIT), focusing on time-expanded graphs that model public transport networks. The approach leverages the topological properties of DAGs to enable a novel parallel construction of hub labels.

Target Sensing Performance in Disaster-Specific ISAC Networks
Ahmet Burak Ozyurt, John S. Thompson
https://arxiv.org/abs/2506.02828 https://

Target Sensing Performance in Disaster-Specific ISAC Networks
As sixth-generation (6G) wireless technology emerges, integrated sensing and communication (ISAC) networks offer significant potential for enhancing real-time monitoring in disaster areas. However, existing ISAC approaches often fail to address the unique challenges of dynamic and cluttered disaster areas, resulting in limited sensing coverage and interruptions in sensing service. To address these limitations, this work proposes a mobile ISAC network specifically designed for disaster scenarios…

Blockchain Epidemic Consensus for Large-Scale Networks
Siamak Abdi, Giuseppe Di Fatta, Atta Badii, Giancarlo Fortino
https://arxiv.org/abs/2508.02552 https://

Blockchain Epidemic Consensus for Large-Scale Networks
Blockchain is a distributed ledger technology that has applications in many domains such as cryptocurrency, smart contracts, supply chain management, and many others. Distributed consensus is a fundamental component of blockchain systems that enables secure, precise, and tamper-proof verification of data without relying on central authorities. Existing consensus protocols, nevertheless, suffer from drawbacks, some of which are related to scalability, resource consumption, and fault tolerance. W…

Beamforming-based Achievable Rate Maximization in ISAC System for Multi-UAV Networking
Shengcai Zhou, Luping Xiang, Kun Yang, Kai Kit Wong, Dapeng Oliver Wu, Chan-Byoung Chae
https://arxiv.org/abs/2507.21895

Beamforming-based Achievable Rate Maximization in ISAC System for Multi-UAV Networking
Airborne mobile Integrated Sensing and Communication (ISAC) base stations have garnered significant attention recently, with ISAC technology being a crucial application for 6G networks. Since ISAC can sense potential mobile communication users, this paper studies an effective scheme for a multi-UAV network tailored for emergency communication. In this paper, we develop a temporal-assisted frame structure utilizing integrated omnidirectional and directional beampattern to facilitate efficient an…

reality_mining: Reality mining proximity network (2004)
A network of human proximities among students at Massachusetts Institute of Technology (MIT), as measured by personal mobile phones. Nodes represent people (students from the Media Lab and the Sloan Business School) and an edge connects a pair if the two devices made a Bluetooth handshake at the time. Edges are timestamped.
This network has 96 nodes and 1086404 edges.
Tags: Social, Offline, Unweighted, Timestamps

This https://arxiv.org/abs/2406.12877 has been replaced.
initial toot: https://mastoxiv.page/@ar…

Design of a SiPM-on-Tile ZDC for the future EIC and its Performance with Graph Neural Networks
We present a design for a high-granularity zero-degree calorimeter (ZDC) for the upcoming Electron-Ion Collider (EIC). The design uses SiPM-on-tile technology and features a novel staggered-layer arrangement that improves spatial resolution. To fully leverage the design's high granularity and non-trivial geometry, we employ graph neural networks (GNNs) for energy and angle regression as well as signal classification. The GNN-boosted performance metrics meet, and in some cases, significantly sur…

A Review of Various Datasets for Machine Learning Algorithm-Based Intrusion Detection System: Advances and Challenges
Sudhanshu Sekhar Tripathy, Bichitrananda Behera
https://arxiv.org/abs/2506.02438

A Review of Various Datasets for Machine Learning Algorithm-Based Intrusion Detection System: Advances and Challenges
IDS aims to protect computer networks from security threats by detecting, notifying, and taking appropriate action to prevent illegal access and protect confidential information. As the globe becomes increasingly dependent on technology and automated processes, ensuring secured systems, applications, and networks has become one of the most significant problems of this era. The global web and digital technology have significantly accelerated the evolution of the modern world, necessitating the u…

Position and Velocity Estimation Accuracy in MIMO-OFDM ISAC Networks: A Fisher Information Analysis
Lorenzo Pucci, Luca Arcangeloni, Andrea Giorgetti
https://arxiv.org/abs/2507.01743

Position and Velocity Estimation Accuracy in MIMO-OFDM ISAC Networks: A Fisher Information Analysis
Integrated sensing and communication (ISAC) is a core technology for future wireless networks, enabling high-resolution sensing and reliable data transmission within a unified radio platform. This paper develops a theoretical framework to assess the estimation accuracy of target position and velocity in heterogeneous orthogonal frequency division multiplexing (OFDM)-based ISAC networks with multiple cooperative and distributed multiple-input multiple-output (MIMO) base stations (BSs). Using Fis…

Fractal Social Dynamics as a Driver of Consensus and Inequality
Airton Deppman
https://arxiv.org/abs/2507.13849 https://arxiv.org/pdf…

Fractal Social Dynamics as a Driver of Consensus and Inequality
Human social behavior is organized in stratified, hierarchical networks, with a support group with about 5 members, expanding proportionally at each layer up to a maximum of approximately 150 frequent interactions per individual. This is known as Social Brain Hypothesis, and its findings are supported by psychological and neurological evidence. The fractal network framework provides valuable insights into social phenomena such as the spread of fake news and the development of technology. This s…

slashdot_zoo: Slashdot Zoo friend-foe network (2009)
A network of interactions among users on Slashdot (slashdot.org), a technology news website. Users name each other as friends or foe. The friend label increases the scores of post, and the foe label decreases the score.
This network has 79120 nodes and 515397 edges.
Tags: Social, Online, Signed

FAST-LoRa: An Efficient Simulation Framework for Evaluating LoRaWAN Networks and Transmission Parameter Strategies
Laura Acosta Garc\'ia, Juan Aznar Poveda, Fabian Margreiter, Antonio-Javier Garc\'ia S\'anchez, Joan Garc\'ia Haro, Thomas Fahringer, Jos\'e Lorente L\'opez, Jos\'e-V\'ictor Rodr\'iguez
https://

FAST-LoRa: An Efficient Simulation Framework for Evaluating LoRaWAN Networks and Transmission Parameter Strategies
The Internet of Things (IoT) has transformed many industries, and LoRaWAN (Long Range Wide Area Network), built on LoRa (Long Range) technology, has become a crucial solution for enabling scalable, low-cost, and energy-efficient communication in wide-area networks. Simulation tools are essential for optimizing the transmission parameters and, therefore, the energy efficiency and performance of LoRaWAN networks. While existing simulation frameworks accurately replicate real-world scenarios by in…

Hardware-software co-exploration with racetrack memory based in-memory computing for CNN inference in embedded systems
Benjamin Chen Ming Choong, Tao Luo, Cheng Liu, Bingsheng He, Wei Zhang, Joey Tianyi Zhou
https://arxiv.org/abs/2507.01429

Hardware-software co-exploration with racetrack memory based in-memory computing for CNN inference in embedded systems
Deep neural networks generate and process large volumes of data, posing challenges for low-resource embedded systems. In-memory computing has been demonstrated as an efficient computing infrastructure and shows promise for embedded AI applications. Among newly-researched memory technologies, racetrack memory is a non-volatile technology that allows high data density fabrication, making it a good fit for in-memory computing. However, integrating in-memory arithmetic circuits with memory cells af…

slashdot_zoo: Slashdot Zoo friend-foe network (2009)
A network of interactions among users on Slashdot (slashdot.org), a technology news website. Users name each other as friends or foe. The friend label increases the scores of post, and the foe label decreases the score.
This network has 79120 nodes and 515397 edges.
Tags: Social, Online, Signed

Efficient Byzantine Consensus MechanismBased on Reputation in IoT Blockchain
Xu Yuan, Fang Luo, Muhammad Zeeshan Haider, Zhikui Chen, Yucheng Li
https://arxiv.org/abs/2508.01856

Efficient Byzantine Consensus MechanismBased on Reputation in IoT Blockchain
Blockchain technology has advanced rapidly in recent years and is now widely used in a variety of fields. Blockchain appears to be one of the best solutions for managing massive heterogeneous devices while achieving advanced data security and data reputation, particularly in the field of large-scale IoT (Internet of Things) networks. Despite the numerous advantages, there are still challenges while deploying IoT applications on blockchain systems due to the limited storage, power, and computing…

TEMPEST-LoRa: Cross-Technology Covert Communication
Xieyang Sun, Yuanqing Zheng, Wei Xi, Zuhao Chen, Zhizhen Chen, Han Hao, Zhiping Jiang, Sheng Zhong
https://arxiv.org/abs/2506.21069

TEMPEST-LoRa: Cross-Technology Covert Communication
Electromagnetic (EM) covert channels pose significant threats to computer and communications security in air-gapped networks. Previous works exploit EM radiation from various components (e.g., video cables, memory buses, CPUs) to secretly send sensitive information. These approaches typically require the attacker to deploy highly specialized receivers near the victim, which limits their real-world impact. This paper reports a new EM covert channel, TEMPEST-LoRa, that builds on Cross-Technology …

reality_mining: Reality mining proximity network (2004)
A network of human proximities among students at Massachusetts Institute of Technology (MIT), as measured by personal mobile phones. Nodes represent people (students from the Media Lab and the Sloan Business School) and an edge connects a pair if the two devices made a Bluetooth handshake at the time. Edges are timestamped.
This network has 96 nodes and 1086404 edges.
Tags: Social, Offline, Unweighted, Timestamps

Extremely Large-Scale Movable Antenna-Enabled Multiuser Communications: Modeling and Optimization
Min Fu, Lipeng Zhu, Rui Zhang
https://arxiv.org/abs/2506.02735

Extremely Large-Scale Movable Antenna-Enabled Multiuser Communications: Modeling and Optimization
Movable antenna (MA) has been recognized as a promising technology to improve communication performance in future wireless networks such as 6G. To unleash its potential, this paper proposes a novel architecture, namely extremely large-scale MA (XL-MA), which allows flexible antenna/subarray positioning over an extremely large spatial region for effectively enhancing near-field effects and spatial multiplexing performance. In particular, this paper studies an uplink XL-MA-enabled multiuser syste…

This https://arxiv.org/abs/2501.03465 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csNI_…

Extending Internet Access Over LoRa for Internet of Things and Critical Applications
LoRa bridges the gap between remote locations and mainstream networks, enabling large-scale Internet of Things (IoT) deployments. Despite the recent advancements around LoRa, Internet access over this technology is still largely unexplored. Most existing solutions only handle packets within the local LoRa network and do not interact with web applications. This limits the scalability and the ability to deliver essential web services in disconnected regions. This work proposes and implements ILoR…

slashdot_zoo: Slashdot Zoo friend-foe network (2009)
A network of interactions among users on Slashdot (slashdot.org), a technology news website. Users name each other as friends or foe. The friend label increases the scores of post, and the foe label decreases the score.
This network has 79120 nodes and 515397 edges.
Tags: Social, Online, Signed

Generative Diffusion Models for Wireless Networks: Fundamental, Architecture, and State-of-the-Art
Dayu Fan, Rui Meng, Xiaodong Xu, Yiming Liu, Guoshun Nan, Chenyuan Feng, Shujun Han, Song Gao, Bingxuan Xu, Dusit Niyato, Tony Q. S. Quek, Ping Zhang
https://arxiv.org/abs/2507.16733

Generative Diffusion Models for Wireless Networks: Fundamental, Architecture, and State-of-the-Art
With the rapid development of Generative Artificial Intelligence (GAI) technology, Generative Diffusion Models (GDMs) have shown significant empowerment potential in the field of wireless networks due to advantages, such as noise resistance, training stability, controllability, and multimodal generation. Although there have been multiple studies focusing on GDMs for wireless networks, there is still a lack of comprehensive reviews on their technological evolution. Motivated by this, we systemat…

This https://arxiv.org/abs/2407.05630 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csIT_…

Enabling 6G Performance in the Upper Mid-Band by Transitioning From Massive to Gigantic MIMO
The initial 6G networks will likely operate in the upper mid-band (7-24 GHz), which has decent propagation conditions but underwhelming new spectrum availability. In this paper, we explore whether we can anyway reach the ambitious 6G performance goals by evolving the multiple-input multiple-output (MIMO) technology from massive in 5G to gigantic in 6G. We describe how many antennas are needed to reach the envisioned 6G peak user rates, how many can realistically be deployed in practical radio e…

Near-Field ISAC for THz Wireless Systems
Fan Zhang, Tianqi Mao, Mingkun Li, Meng Hua, Jinshu Chen, Christos Masouros, Zhaocheng Wang
https://arxiv.org/abs/2507.04292

Near-Field ISAC for THz Wireless Systems
Sixth-generation (6G) wireless networks are expected not only to provide high-speed connectivity but also to support reliable sensing capabilities, giving rise to the integrated sensing and communication (ISAC) paradigm. To enable higher data rates and more accurate sensing, terahertz (THz) systems empowered by extremely large multiple-input-multiple-output (XL-MIMO) technology are envisioned as key enablers for future ISAC systems. Owing to the substantial increase in both effective array aper…

reality_mining: Reality mining proximity network (2004)
A network of human proximities among students at Massachusetts Institute of Technology (MIT), as measured by personal mobile phones. Nodes represent people (students from the Media Lab and the Sloan Business School) and an edge connects a pair if the two devices made a Bluetooth handshake at the time. Edges are timestamped.
This network has 96 nodes and 1086404 edges.
Tags: Social, Offline, Unweighted, Timestamps

Network Digital Twin for 6G and Beyond: An End-to-End View Across Multi-Domain Network Ecosystems
Dinh-Hieu Tran, Nazar Waheed, Yuris Mulya Saputra, Xingqin Lin, Cong T. Nguyen, Tedros Salih Abdu, Van Nhan Vo, Van-Quan Pham, Madyan Alsenwi, Abuzar Babikir Mohammad Adam, Symeon Chatzinotas, Eva Lagaunas, Hung Tran, Tu Ho Dac, Nguyen Van Huynh
https://…

Network Digital Twin for 6G and Beyond: An End-to-End View Across Multi-Domain Network Ecosystems
With the rapid development of technology, the number of smart mobile users is increasing, accompanied by growing demands from applications such as virtual/augmented reality (VR/XR), remote surgery, autonomous vehicles, and real-time holographic communications, all of which require high transmission rates and ultra-low latency in 6G and beyond networks (6G+). This poses enormous challenges in efficiently deploying large-scale networks, including network design, planning, troubleshooting, optimiz…

Over-the-air Multifunctional Wideband Electromagnetic Signal Processing using Dynamic Scattering Arrays
Davide Dardari
https://arxiv.org/abs/2506.00619 htt…

Over-the-air Multifunctional Wideband Electromagnetic Signal Processing using Dynamic Scattering Arrays
To meet the stringent requirements of next-generation wireless networks, multiple-input multiple-output (MIMO) technology is expected to become massive and pervasive. Unfortunately, this could pose scalability issues in terms of complexity, power consumption, cost, and processing latency. Therefore, novel technologies and design approaches, such as the recently introduced holographic MIMO paradigm, must be investigated to make future networks sustainable. In this context, we investigate the con…

slashdot_zoo: Slashdot Zoo friend-foe network (2009)
A network of interactions among users on Slashdot (slashdot.org), a technology news website. Users name each other as friends or foe. The friend label increases the scores of post, and the foe label decreases the score.
This network has 79120 nodes and 515397 edges.
Tags: Social, Online, Signed

reality_mining: Reality mining proximity network (2004)
A network of human proximities among students at Massachusetts Institute of Technology (MIT), as measured by personal mobile phones. Nodes represent people (students from the Media Lab and the Sloan Business School) and an edge connects a pair if the two devices made a Bluetooth handshake at the time. Edges are timestamped.
This network has 96 nodes and 1086404 edges.
Tags: Social, Offline, Unweighted, Timestamps

Latency Minimization Oriented Radio and Computation Resource Allocations for 6G V2X Networks with ISCC
Peng Liu, Xinyi Wang, Zesong Fei, Yuan Wu, Jie Xu, Arumugam Nallanathan
https://arxiv.org/abs/2507.16375

Latency Minimization Oriented Radio and Computation Resource Allocations for 6G V2X Networks with ISCC
Incorporating mobile edge computing (MEC) and integrated sensing and communication (ISAC) has emerged as a promising technology to enable integrated sensing, communication, and computing (ISCC) in the sixth generation (6G) networks. ISCC is particularly attractive for vehicle-to-everything (V2X) applications, where vehicles perform ISAC to sense the environment and simultaneously offload the sensing data to roadside base stations (BSs) for remote processing. In this paper, we investigate a part…

reality_mining: Reality mining proximity network (2004)
A network of human proximities among students at Massachusetts Institute of Technology (MIT), as measured by personal mobile phones. Nodes represent people (students from the Media Lab and the Sloan Business School) and an edge connects a pair if the two devices made a Bluetooth handshake at the time. Edges are timestamped.
This network has 96 nodes and 1086404 edges.
Tags: Social, Offline, Unweighted, Timestamps

slashdot_zoo: Slashdot Zoo friend-foe network (2009)
A network of interactions among users on Slashdot (slashdot.org), a technology news website. Users name each other as friends or foe. The friend label increases the scores of post, and the foe label decreases the score.
This network has 79120 nodes and 515397 edges.
Tags: Social, Online, Signed

FAS Enabled UAV for Energy-Efficient WPCNs
Nagla Abuzgaia, Abdelhamid Salem, Ahmed Elbarsha
https://arxiv.org/abs/2508.01771 https://arxiv.org/pdf/2508.017…

FAS Enabled UAV for Energy-Efficient WPCNs
This letter presents an innovative scheme to enhance the communication rate and energy efficiency (EE) of Unmanned Aerial Vehicle (UAV) in wireless powered communication networks (WPCNs) by deploying the emerging fluid antenna system (FAS) technology onto the UAV. Our proposed approach leverages the dynamic port switching capability of FAS, enabling the UAV to adaptively select the optimal antenna location that maximizes channel gain for both downlink wireless power transfer (WPT) and uplink wi…

Active RISs: Modeling and Optimization
Recep Akif Tasci, Panagiotis Gavriilidis, Ertugrul Basar, George C. Alexandropoulos
https://arxiv.org/abs/2507.16499 https://

Active RISs: Modeling and Optimization
Reconfigurable Intelligent Surfaces (RIS)-empowered communication has emerged as a transformative technology for next generation wireless networks, enabling the programmable shaping of the propagation environment. However, conventional RISs are fundamentally limited by the double path loss effect, which severely attenuates the reflected signals. To overcome this, active RIS architectures, capable of amplifying impinging signals, have been proposed. This chapter investigates the modeling, perfor…

reality_mining: Reality mining proximity network (2004)
A network of human proximities among students at Massachusetts Institute of Technology (MIT), as measured by personal mobile phones. Nodes represent people (students from the Media Lab and the Sloan Business School) and an edge connects a pair if the two devices made a Bluetooth handshake at the time. Edges are timestamped.
This network has 96 nodes and 1086404 edges.
Tags: Social, Offline, Unweighted, Timestamps

Near-Field Directional Modulation for RIS-Aided Movable Antenna MIMO Systems with Hardware Impairments
Maolin Li, Feng Shu, Riqing Chen, Cunhua Pan, Yongpeng Wu
https://arxiv.org/abs/2506.00972

Near-Field Directional Modulation for RIS-Aided Movable Antenna MIMO Systems with Hardware Impairments
Movable antennas (MAs) are a promising technology to achieve a significant enhancement in rate for future wireless networks. The pioneering investigation on near-field directional modulation design for a reconfigurable intelligent surface (RIS)-assisted MA system is presented, with the base station equipped with a MA array. To maximize the secrecy sum rate (Max-SSR) with hardware impairments (HWIs) and imperfect channel state information (CSI), which involves a joint optimization of beamforming…

Reconfigurable Intelligent Surfaces for 6G and Beyond: A Comprehensive Survey from Theory to Deployment
Prasetyo Putranto, Anis Amazigh Hamza, Sameh Mabrouki, Nasrullah Armi, Iyad Dayoub
https://arxiv.org/abs/2506.19526

Reconfigurable Intelligent Surfaces for 6G and Beyond: A Comprehensive Survey from Theory to Deployment
As the wireless research community moves toward shaping the vision of sixth-generation (6G) networks, reconfigurable intelligent surfaces (RIS) have emerged as a promising technology for controlling the propagation environment. Although RIS has not yet been standardized, its versatile applications and enabling capabilities have attracted growing attention in both academia and industry. This survey presents a comprehensive review of RIS technology spanning theoretical foundations, design aspects…

Efficient handover based on Near-field and Far-field RIS for seamless connectivity
Atiquzzaman Mondal, Waheeb Tashan, Ayat Al-Olaimat, H\"useyin Arslan
https://arxiv.org/abs/2507.22141

Efficient handover based on Near-field and Far-field RIS for seamless connectivity
Reconfigurable Intelligent Surfaces (RIS) is becoming a transformative technology for the upcoming 6G communication networks, providing a way for smartly maneuvering the electromagnetic waves to enhance coverage and connectivity. This paper presents an efficient handover (HO) management scheme leveraging RIS in the Fresnel region i.e., in both the near-field (NF) and far-field (FF) regions to reduce signaling overhead and optimize mobility management. For this, we analyzed the signal strength v…

Optimizing Indoor RIS-Aided Physical-Layer Security: A Codebook-Generation Methodology and Measurement-Based Analysis
Dimitris Kompostiotis, Dimitris Vordonis, Vassilis Paliouras, George C. Alexandropoulos
https://arxiv.org/abs/2506.22082

Optimizing Indoor RIS-Aided Physical-Layer Security: A Codebook-Generation Methodology and Measurement-Based Analysis
Sixth-Generation (6G) wireless networks aim to support innovative Internet-of-Things (IoT) applications that demand faster and more secure data transmission. While higher Open Systems Interconnection (OSI) layers employ measures like encryption and secure protocols to address data security, Physical-Layer Security (PLS) focuses on preventing information leakage to EavesDroppers (EDs) and mitigating the effects of jammers and spoofing attacks. In this context, the emerging technology of Reconfig…

Dependability Theory-based Statistical QoS Provisioning of Fluid Antenna Systems
Irfan Muhammad, Priyadarshi Mukherjee, Wee Kiat New, Hirley Alves, Ioannis Krikidis, Kai-Kit Wong
https://arxiv.org/abs/2507.19984

Dependability Theory-based Statistical QoS Provisioning of Fluid Antenna Systems
Fluid antenna systems (FAS) have recently emerged as a promising technology for next-generation wireless networks, offering real-time spatial reconfiguration to enhance reliability, throughput, and energy efficiency. Nevertheless, existing studies often overlook the temporal dynamics of channel fading and their implications for mission-critical operations. In this paper, we propose a dependability-theoretic framework for statistical quality-of-service (QoS) provisioning of FAS under finite bloc…

Toward Dual-Functional LAWN: Control-Aware System Design for Aerodynamics-Aided UAV Formations
Jun Wu, Weijie Yuan, Qingqing Cheng, Haijia Jin
https://arxiv.org/abs/2507.19910 h…

Toward Dual-Functional LAWN: Control-Aware System Design for Aerodynamics-Aided UAV Formations
Integrated sensing and communication (ISAC) has emerged as a pivotal technology for advancing low-altitude wireless networks (LAWNs), serving as a critical enabler for next-generation communication systems. This paper investigates the system design for energy-saving unmanned aerial vehicle (UAV) formations in dual-functional LAWNs, where a ground base station (GBS) simultaneously wirelessly controls multiple UAV formations and performs sensing tasks. To enhance flight endurance, we exploit the …