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20242026
most citedGeNet: A Multimodal LLM-Based Co-Pilot for Network Topology and Configuration

4 citations · 8 across the 11 of their papers we have counts for

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9 papers · 1 filter

cs.CR2026

HYDRA: Quantifying Botnet Resource Thresholds for Efficient Link-Flooding Attacks on LEO Satellite Networks

Roee Idan, Rami Puzis, Asaf Shabtai +1

Low Earth orbit (LEO) satellite constellations, such as Starlink and Kuiper, are rapidly emerging as a critical backbone for low-latency global connectivity. As these systems expan…

cs.CR2026

(EC)2: Event-Centric Explainability for Cybersecurity Through Multi-Agent LLM Investigations

Neta Kirmayer, David Tayouri, Andrés Murillo +3

Security operations centers rely on anomaly detection systems to flag suspicious events. Feature-level explanations for anomaly detectors offer limited value for operational invest…

cs.CR2026★ 1 cited

ConGISATA: A Framework for Continuous Gamified Information Security Awareness Training and Assessment

Ofir Cohen, Ron Bitton, Asaf Shabtai +1

The incidence of cybersecurity attacks utilizing social engineering techniques has increased. Such attacks exploit the fact that in every secure system, there is at least one indiv…

cs.CR2026

FreakOut-LLM: The Effect of Emotional Stimuli on Safety Alignment

Daniel Kuznetsov, Ofir Cohen, Karin Shistik +2

Safety-aligned LLMs go through refusal training to reject harmful requests, but whether these mechanisms remain effective under emotionally charged stimuli is unexplored. We introd…

cs.CR2025

SCyTAG: Scalable Cyber-Twin for Threat-Assessment Based on Attack Graphs

David Tayouri, Elad Duani, Abed Showgan +8

Understanding the risks associated with an enterprise environment is the first step toward improving its security. Organizations employ various methods to assess and prioritize the…

cs.CR2025

ATAG: AI-Agent Application Threat Assessment with Attack Graphs

Parth Atulbhai Gandhi, Akansha Shukla, David Tayouri +4

Evaluating the security of multi-agent systems (MASs) powered by large language models (LLMs) is challenging, primarily because of the systems' complex internal dynamics and the ev…