Tootfinder

A look at Russian GRU Unit 29155's hacking department, which started out in 2012, and its involvement in cyber warfare and disinformation campaigns (The Insider)
https://theins.press/en/inv/281731

Hidden Bear: The GRU hackers of Russia’s most notorious kill squad
Russian GRU Unit 29155 is best known for its long list of murder and sabotage ops, which include the Salisbury poisonings in England, arms depot explosions in Czechia, and an attempted coup d’etat in Montenegro. But its activities in cyberspace remained in the shadows — until now. After reviewing a trove of hidden data, The Insider can report that the Kremlin’s most notorious black ops squad also fielded a team of hackers — one that attempted to destabilize Ukraine in the months before …

Four-time Lions Pro Bowl C Frank Ragnow to retire after seven seasons in NFL https://www.nfl.com/news/four-time-lions-pro-bowl-c-frank-ragnow-to-retire-after-seven-seasons-in-nfl

wiki_talk: Wikipedia talk networks
Interactions among users of 10 language-specific Wikipedias: Arabic, Chinese, Dutch, English, French, German, Italian, Portuguese, Russian, and Spanish. Nodes are registered wiki editors, and an edge represents a user i having written a message on user j's talk page. Edges are timestamped. The precise dates of the snapshots are uncertain.
This network has 41424 nodes and 73900 edges.
Tags: Social, Communication, Unweighted, Multigraph,…

World Models for Cognitive Agents: Transforming Edge Intelligence in Future Networks
Changyuan Zhao, Ruichen Zhang, Jiacheng Wang, Gaosheng Zhao, Dusit Niyato, Geng Sun, Shiwen Mao, Dong In Kim
https://arxiv.org/abs/2506.00417

World Models for Cognitive Agents: Transforming Edge Intelligence in Future Networks
World models are emerging as a transformative paradigm in artificial intelligence, enabling agents to construct internal representations of their environments for predictive reasoning, planning, and decision-making. By learning latent dynamics, world models provide a sample-efficient framework that is especially valuable in data-constrained or safety-critical scenarios. In this paper, we present a comprehensive overview of world models, highlighting their architecture, training paradigms, and a…

Cognitive-Radio Functionality: A Novel Configuration for STAR-RIS assisted RSMA Networks
Saeed Ibrahim, Yue Xiao, Dimitrios Tyrovolas, Sotiris A. Tegos, Panagiotis D. Diamantoulakis, Zheng Ma, George K. Karagiannidis, Pinghzi Fan
https://arxiv.org/abs/2505.24583

Cognitive-Radio Functionality: A Novel Configuration for STAR-RIS assisted RSMA Networks
Cognitive radio rate-splitting multiple access (CR-RSMA) has emerged as a promising multiple access framework that can efficiently manage interference and adapt dynamically to heterogeneous quality-of-service (QoS) requirements. To effectively support such demanding access schemes, programmable wireless environments have attracted considerable attention, especially through simultaneously transmitting and reflecting reconfigurable intelligent surfaces (STAR-RISs), which can enable full-space con…

Region-of-Interest-Guided Deep Joint Source-Channel Coding for Image Transmission
Hansung Choi, Daewon Seo
https://arxiv.org/abs/2506.01269 https://…

Region-of-Interest-Guided Deep Joint Source-Channel Coding for Image Transmission
Deep joint source-channel coding (deepJSCC) and semantic communication have shown promising improvements in communication performance over wireless networks. However, current approaches primarily focus on enhancing average performance metrics, such as overall image reconstruction quality or task accuracy, which may not fully align with users' actual experience -- often driven by the quality of specific regions of interest (ROI). Motivated by this, we propose ROI-guided joint source-channel codi…

Don't miss today's Metacurity for the most critical infosec developments you should know, including
--Russian group Laundry Bear hacked Dutch police, targets Ukraine-allied nations
--Iranian pleads guilty to Robbinhood ransomware,
--Vietnam-tied UNC6032 uses prompt-to-video AI tools to lure malware victims,
--Russia sends former programmer to prison for 14 years,
--Czech Republic says China's APT31 hacked its comms networks,
--Nigeria arrests 20 for…

Russian group Laundry Bear hacked Dutch police, targets Ukraine-allied nations
Iranian pleads guilty to Robbinhood, UNC6032 uses prompt-to-video AI tools to lure victims, Russia sends former programmer to prison for 14 years, Czech Republic says China's APT31 hacked its comms networks, Nigeria arrests 20 for exams hacking, Bad flaw found in GitHub MCP integration, much more

🚀 Opening new frontiers with the first major in-the-field demo of practical quantum communications!
Read in the latest issue of the Nature Magazine about the first practical demonstration of Quantum Key Distribution (QKD) within commercial telecom networks - a breakthrough in the field, achieved by a team from Toshiba Europe, GÉANT, PSNC, and Anglia Ruskin University.
A major step towards a scalable, secure, and practical quantum internet.
Learn more:

Toshiba Europe, GÉANT, PSNC and Anglia Ruskin University announce the first demonstration of Quantum Key Distribution within commercial telecommunication networks | GÉANT CONNECT Online
As reported in Nature, GÉANT, Toshiba Europe limited, PSNC and Anglia Ruskin University came together to work on the first major in-the-field demonstration of practical quantum communications using telecoms standard equipment and infrastructure. The experiment was conducted in Germany, with access to the network infrastructure provided by GÉANT. Communication was established over a link spanning

5G RAN Slicing with Load Balanced Handovers
Yongzhou Chen, Muhammad Taimoor Tariq, Haitham Hassanieh, Radhika Mittal
https://arxiv.org/abs/2505.24295 https…

5G RAN Slicing with Load Balanced Handovers
With increasing density of small cells in modern multi-cell deployments, a given user can have multiple options for its serving cell. The serving cell for each user must be carefully chosen such that the user achieves reasonably high channel quality from it, and the load on each cell is well balanced. It is relatively straightforward to reason about this without slicing, where all users can share a global load balancing criteria set by the network operator. In this paper, we identify the unique…

Local Stability and Region of Attraction Analysis for Neural Network Feedback Systems under Positivity Constraints
Hamidreza Montazeri Hedesh, Moh Kamalul Wafi, Milad Siami
https://arxiv.org/abs/2505.22889

Local Stability and Region of Attraction Analysis for Neural Network Feedback Systems under Positivity Constraints
We study the local stability of nonlinear systems in the Lur'e form with static nonlinear feedback realized by feedforward neural networks (FFNNs). By leveraging positivity system constraints, we employ a localized variant of the Aizerman conjecture, which provides sufficient conditions for exponential stability of trajectories confined to a compact set. Using this foundation, we develop two distinct methods for estimating the Region of Attraction (ROA): (i) a less conservative Lyapunov-based a…