Tootfinder

Cross-Service Token: Finding Attacks in 5G Core Networks
Anqi Chen, Riccardo Preatoni, Alessandro Brighente, Mauro Conti, Cristina Nita-Rotaru
https://arxiv.org/abs/2509.08992 h…

Cross-Service Token: Finding Attacks in 5G Core Networks
5G marks a major departure from previous cellular architectures, by transitioning from a monolithic design of the core network to a Service-Based Architecture (SBA) where services are modularized as Network Functions (NFs) which communicate with each other via standard-defined HTTP-based APIs called Service-Based Interfaces (SBIs). These NFs are deployed in private and public cloud infrastructure, and an access control framework based on OAuth restricts how they communicate with each other and …

Ground-Based Verification Method for Pointing and Acquisition Performance of Space Optical Communication System with Sub-Second Acquisition Time
Jianmin Wang, Zhiqian Su, Bin Li, Weiran Zheng, Haochun Gao
https://arxiv.org/abs/2508.08950

Ground-Based Verification Method for Pointing and Acquisition Performance of Space Optical Communication System with Sub-Second Acquisition Time
To meet the urgent need for sub-second link establishment in inter-satellite and satellite-to-ground free space optical communication, this paper presents a periscope-type optical communication terminal and a ground-based verification scheme for its pointing accuracy and acquisition performance, thereby avoiding costly in-orbit tests. This ground-based measurement method takes the positions of stellar constellations in inertial space as its reference. By establishing a theoretical attitude dete…

Nonlocal Games Through Communication Complexity and Quantum Cryptography
Pierre Botteron
https://arxiv.org/abs/2510.09457 https://arxiv.org/pdf/2510.09457

Nonlocal Games Through Communication Complexity and Quantum Cryptography
This thesis explores foundational aspects of quantum information theory and quantum cryptography. First, we investigate quantum correlations in interactive settings, including the CHSH and graph isomorphism games. We aim to distinguish quantum correlations from non-signaling correlations by leveraging the principle of communication complexity. To this end, we employ techniques such as distributed computation, majority-function-based distillation protocols, the algebraic and geometric properti…

Mixture of Semantics Transmission for Generative AI-Enabled Semantic Communication Systems
Junjie Ni, Tong Wu, Zhiyong Chen, Yin Xu, Meixia Tao, Wenjun Zhang
https://arxiv.org/abs/2509.09499

Mixture of Semantics Transmission for Generative AI-Enabled Semantic Communication Systems
In this paper, we propose a mixture of semantics (MoS) transmission strategy for wireless semantic communication systems based on generative artificial intelligence (AI). At the transmitter, we divide an image into regions of interest (ROI) and reigons of non-interest (RONI) to extract their semantic information respectively. Semantic information of ROI can be allocated more bandwidth, while RONI can be represented in a compact form for transmission. At the receiver, a diffusion model reconstru…

Mean Field Game-Based Interactive Trajectory Planning Using Physics-Inspired Unified Potential Fields
Zhen Tian, Fujiang Yuan, Chunhong Yuan, Yanhong Peng
https://arxiv.org/abs/2509.08147

Mean Field Game-Based Interactive Trajectory Planning Using Physics-Inspired Unified Potential Fields
Interactive trajectory planning in autonomous driving must balance safety, efficiency, and scalability under heterogeneous driving behaviors. Existing methods often face high computational cost or rely on external safety critics. To address this, we propose an Interaction-Enriched Unified Potential Field (IUPF) framework that fuses style-dependent benefit and risk fields through a physics-inspired variational model, grounded in mean field game theory. The approach captures conservative, aggress…

Interference Mitigation for OFDM-based Integrated Sensing and Communications with Arbitrary Modulation Formats
Felix Artmann, Daniel Gil Gaviria, Benedikt Geiger, Laurent Schmalen
https://arxiv.org/abs/2509.07754

Interference Mitigation for OFDM-based Integrated Sensing and Communications with Arbitrary Modulation Formats
Integrated sensing and communication will be a key feature of future mobile networks, enabling highly efficient systems and numerous new applications by leveraging communication signals for sensing. In this paper, we analyze the impact of arbitrary modulation alphabets on the sensing performance of communication-centric OFDM systems as expected in the next-generation 6G networks. We evaluate existing interference mitigation techniques, such as coherent successive target cancellation, and propos…

Electrophoretic Beamforming in Molecular Communication: Toward Targeted Extracellular Vesicle Delivery
Mohammad Zoofaghari, Liv Cornelia Middelthon, Mladen Veleti\'c, Ilangko Balasingham
https://arxiv.org/abs/2509.09339

Electrophoretic Beamforming in Molecular Communication: Toward Targeted Extracellular Vesicle Delivery
Directing extracellular vesicles (EVs), such as exosomes and microvesicles, toward specific cells is an emerging focus in nanomedicine, owing to their natural role as carriers of proteins, RNAs, and drugs. EVs can be manipulated by external electric fields due to their intrinsic surface charge and biophysical properties. This study investigates the feasibility of using extremely low-frequency electromagnetic fields to guide EV transport. A theoretical framework based on the Fokker-Planck equati…

A transformer-BiGRU-based framework with data augmentation and confident learning for network intrusion detection
Jiale Zhang, Pengfei He, Fei Li, Kewei Li, Yan Wang, Lan Huang, Ruochi Zhang, Fengfeng Zhou
https://arxiv.org/abs/2509.04925

A transformer-BiGRU-based framework with data augmentation and confident learning for network intrusion detection
In today's fast-paced digital communication, the surge in network traffic data and frequency demands robust and precise network intrusion solutions. Conventional machine learning methods struggle to grapple with complex patterns within the vast network intrusion datasets, which suffer from data scarcity and class imbalance. As a result, we have integrated machine learning and deep learning techniques within the network intrusion detection system to bridge this gap. This study has developed Trai…

Hardware-friendly IR-HARQ for Polar SCL Decoders
Marwan Jalaleddine, Jiajie Li, Warren J. Gross
https://arxiv.org/abs/2508.08425 https://arxiv.org/pdf/2508…

Hardware-friendly IR-HARQ for Polar SCL Decoders
To extend the applications of polar codes within next-generation wireless communication systems, it is essential to incorporate support for Incremental Redundancy (IR) Hybrid Automatic Repeat Request (HARQ) schemes. The baseline IR-HARQ scheme's reliance on set-based operations leads to irregular memory access patterns, posing significant challenges for efficient hardware implementation. Furthermore, the introduction of new bit types increases the number of fast nodes that are decoded without t…