Overview

Cybersecurity studies how to prevent, detect, investigate, and recover from attacks on software, networks, organizations, and cyber-physical systems. Common approaches include signature-based defenses, statistical and deep-learning intrusion detection, graph and temporal analysis, formal verification, threat-intelligence mapping, and reinforcement-learning or language-model agents. Work spans settings such as cloud and IoT networks, industrial control systems, connected vehicles, vulnerability assessment, and security operations, with benchmarks increasingly testing realistic attack chains and operational response. A central tension is that strong results on fixed datasets or simulated environments may not transfer to changing, adversarial deployments, where false alarms, safety, cost, and human oversight also matter.

Latest papers

CardsList

355 papers33 papers in the last four weeks, down 20% on the four weeks before. 0.2% of all new papers.

  1. Structured Driving-State Narratives for Small Language Model-Based GNSS Spoofing Detection

    Aug 17, 2026Abyad Enan, Sagar Dasgupta, Mizanur Rahman +1CybersecurityAdversarial Attacks

  2. Digital Twin Degradation: Detecting Cyber Physical Attacks via Temporal Inconsistencies

    Aug 17, 2026Konstantinos E. Kampourakis, Vasileios Gkioulos, Sokratis KatsikasCPS SecurityCybersecurity

  3. Chameleon: An Adaptive AI-Driven Honeypot Architecture Using Threat-Calibrated Particle Swarm Optimization and Semantic Deception Rapidly-Exploring Random Trees

    Aug 15, 2026Rohit Swami, Tushar Singh, Akash Warde +1Metaheuristic OptimizationCybersecurity

  4. Hierarchical Agentic Incident Response with Digital-Twin-Validated Attack Inference

    Aug 15, 2026Yiran Gao, Juntao Chen, Tao LiCybersecurityLLM Agent Planning

  5. SysEvolve: An AI-native, safe, autonomous adversarial attack-defense co-evolutionary system

    Aug 15, 2026Yuhan Meng, Shaofei Li, Jionghao Huang +8CybersecurityAutonomous Cyber Defense

  6. Explainability Boosted Anomaly Detection Framework for O-RAN based NextG Networks

    Aug 14, 2026Nurullah Aksu, Ali Fuat Sahin, Semiha Tedik BaşaranNetwork Intrusion DetectionCybersecurity

  7. BGA: A noise-immune neural distillation framework for malicious signature extraction in high-entropy encrypted flows

    Aug 14, 2026Sheng Hong, Yixuan Huang, Weiwei Jiang +3Industrial Control System SecurityCybersecurity

  8. TopoIntent: Compiling Security Intent into Executable, Compliance-Checked Network Topologies

    Aug 13, 2026Xiaokang Qu, Jianliang Ma, Zao Fan +3Cybersecurity

  9. Operationalizing Cyber Threat Intelligence with GraphRAG

    Aug 13, 2026Atul Kabra, Prakhar Paliwal, Manjesh K. HanawalCyber Threat IntelligenceGraph Retrieval-Augmented Generation

  10. Machine Learning-Based Cyber Defense for Cloud Infrastructure: An Adaptive Deep Q-Network Architecture for Intelligent Intrusion Detection and Automated Threat Mitigation

    Aug 12, 2026Md Yassir Mottalib, Md Yousuf, Eklachur Rahman Bhuiyan +5Autonomous Cyber DefenseDeep Q-Learning

  11. Rethinking Agent Security as a Networking Problem

    Aug 12, 2026Van Tran, Taveesh Sharma, Tajveer Singh Dhesi +1CybersecurityAI Agent Security

  12. RangeFactory: Scalable Construction of Multi-Hop Cyber Ranges

    Aug 10, 2026Hanlin Jiang, Puyi Wang, Jiandong Jin +10CybersecurityAutomated Penetration Testing

  13. STAIR: Effective Incident Response Using an End-to-End Agentic Planning Framework

    Aug 10, 2026Hanlin Jiang, Jionghao Huang, Shaofei Li +6Autonomous Cyber DefenseLLM Agent Orchestration

  14. Security and Privacy Taxonomy Generation from Mobile App Reviews

    Aug 10, 2026Moghis Fereidouni, Krishna Upadhyay, Umar Farooq +1CybersecurityTaxonomy Induction

  15. Retrieval-Constrained Policy Optimization for Attack Technique Extraction from Cyber Threat Intelligence

    Aug 7, 2026Jiayun Zhang, Junshen Xu, Zejun Xie +1Cyber Threat IntelligenceCybersecurity

  16. FedTransKD-IDS: Robust Federated Transfer Learning with Knowledge Distillation for Intrusion Detection in IoT

    Aug 6, 2026Mohammad Hosssein Gholamrezazadeh, Ahmadreza MontazerolghaemAhmadreza MontazerolghaemIoT Intrusion DetectionCybersecurity

  17. Hardware Design and Security in the Era of Chiplets and LLMs

    Aug 5, 2026Johann Knechtel, Ozgur Sinanoglu, Paul V. Gratz +1Electronic Design AutomationCybersecurity

  18. Post-Hoc Trajectory-Risk Certification for Modular LLM-Based Security Agents

    Aug 4, 2026Zhenpeng LiIoT Intrusion DetectionCybersecurity

  19. Agentic Incident Response through Digital Twin-Enhanced Multiscale Planning

    Aug 3, 2026Yiran Gao, Tao Li, Kim HammarCybersecurityModel-Based Planning

  20. A Multi-Objective AutoML-based Efficient Intrusion Detection System for EV Charging Networks

    Aug 3, 2026Li YangNetwork Intrusion DetectionElectric Vehicle Charging

  21. Vulnerabilities, Secrets and Misconfiguration in the Highest-Exposure Docker Hub Images

    Aug 2, 2026Cristhian Kapelinski, Beatriz Machado, Diego KreutzSoftware Vulnerability DetectionCybersecurity

  22. Supporting Cybersecurity Risk Management for Medical Devices via the SECUMAN Ontology and Shapes

    Aug 1, 2026Martin Diller, Anne Esslinger, Piotr Gorczyca +3Cybersecurity

  23. From Chasing Ghosts to Missed Attacks: Perspectives and Perceptions of SOC Practitioners on LLM Integration, Risks, and Readiness

    Aug 1, 2026Jonas Thurner, Nadine Jost, Stefan Albert Horstmann +4CybersecurityLLMs for Cybersecurity

  24. Deep Learning for Cyber Threat Detection and Mitigation in Healthcare-IoT

    Jul 31, 2026Mirza AkhiNetwork Intrusion DetectionCybersecurity

  25. Skillsets on the Chain: A Blockchain-based Zero-Trust Framework for Agentic AI Networking

    Jul 31, 2026Yayu Gao, Yong Xiao, Hao Hu +5CybersecurityAI Agent Security

  26. AgentSnare: Learning to Delay, Divert, and Defuse Autonomous Penetration Agents

    Jul 29, 2026Ruoyu Wang, Heng Zhao, Renjie Wu +4Autonomous Cyber DefenseCybersecurity