Cybersecurity

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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. Assessing Crime Disclosure Patterns in a Large-Scale Cybercrime Forum

    Mar 2, 2026Raphael Hoheisel, Tom Meurs, Jai Wientjes +3Cybersecurity

    University of Twente, Netherlands · Dutch Police, Netherlands · Université de Montréal, Montréal Complexity Science Hub, Austria

  2. ATLAS: AI-Assisted Threat-to-Assertion Learning for System-on-Chip Security Verification

    Mar 1, 2026Ishraq Tashdid, Kimia Tasnia, Alexander Garcia +2CybersecurityFormal Hardware Verification

    Department of Electrical and Computer Engineering, University of Central Florida · Intel Corporation

  3. RLShield: Practical Multi-Agent RL for Financial Cyber Defense with Attack-Surface MDPs and Real-Time Response Orchestration

    Feb 26, 2026Srikumar NayakAutonomous Cyber DefenseCybersecurity

    Incedo Inc, USA

  4. Cybersecurity of Teleoperated Quadruped Robots: A Systematic Survey of Vulnerabilities, Threats, and Open Defense Gaps

    Feb 26, 2026Mohammad SabouriCybersecurityRobot Teleoperation

    Department of Informatics, Bioengineering, Robotics and Systems Engineering (DIBRIS), University of Genoa, Genoa, Italy

  5. Explainability-Aware Evaluation of Transfer Learning Models for IoT DDoS Detection Under Resource Constraints

    Feb 25, 2026Nelly ElsayedIoT Intrusion DetectionCybersecurity

    School of Information Technology, University of Cincinnati, Ohio, United States

  6. "Are You Sure?": An Empirical Study of Human Perception Vulnerability in LLM-Driven Agentic Systems

    Feb 24, 2026Xinfeng Li, Shenyu Dai, Kelong Zheng +4AI Agent SecurityCybersecurity

    Nanyang Technological University · KTH · William & Mary

  7. A Systematic Review of Algorithmic Red Teaming Methodologies for Assurance and Security of AI Applications

    Feb 24, 2026Shruti Srivastava, Kiranmayee Janardhan, Shaurya JauhariAutomated Red TeamingCybersecurity

    Responsible AI Office, Infosys Limited, India.

  8. BioEnvSense: A Human-Centred Security Framework for Preventing Behaviour-Driven Cyber Incidents

    Feb 23, 2026Duy Anh Ta, Farnaz Farid, Farhad Ahamed +4Cybersecurity

    School of Computer, Data and Mathematical Sciences Western Sydney University · School of Social Sciences Western Sydney University

  9. DAVE: A Policy-Enforcing LLM Spokesperson for Secure Multi-Document Data Sharing

    Feb 19, 2026René Brinkhege, Prahlad MenonCybersecurityLLM Security

    Fraunhofer ISST Dortmund, Germany · Fraunhofer CMA Riverdale Park, MD, USA

  10. A Scalable Approach to Solving Simulation-Based Network Security Games

    Feb 18, 2026Michael Lanier, Yevgeniy VorobeychikMulti-Agent Reinforcement LearningHierarchical RL

  11. What hackers talk about when they talk about AI: Early-stage diffusion of a cybercrime innovation

    Feb 16, 2026Benoît Dupont, Chad Whelan, Serge-Olivier PaquetteCybersecurity

    International Centre for Comparative Criminology, Université de Montréal, Canada · Deakin Centre for Cyber Research and Innovation, Deakin University, Australia · Flare Systems, Canada

  12. Next-Gen CAPTCHAs: Leveraging the Cognitive Gap for Scalable and Diverse GUI-Agent Defense

    Feb 9, 2026Jiacheng Liu, Yaxin Luo, Jiacheng Cui +3CybersecurityAI Agent Security

    Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) · MetaAgentX · University College London

  13. SoK: The Pitfalls of Deep Reinforcement Learning for Cybersecurity

    Feb 9, 2026Shae McFadden, Myles Foley, Elizabeth Bates +5Reinforcement LearningCybersecurity

    King’s College London · The Alan Turing Institute · University College London +3

  14. TrojanGYM: A Detector-in-the-Loop LLM for Adaptive RTL Hardware Trojan Insertion

    Jan 23, 2026Saideep Sreekumar, Zeng Wang, Akashdeep Saha +6Backdoor AttacksAdversarial Robustness

    NYU Abu Dhabi, Abu Dhabi, UAE · NYU Tandon School of Engineering, New York, USA

  15. A Hybrid Insider Threat Detection Framework Combining Multi-Agent Simulation, Layered SIEM Correlation, and Theory-of-Mind Reasoning

    Jan 6, 2026Firdous Kausar, Asmah Muallem, Naw Safrin Sattar +1CybersecurityAnomaly Detection

    Department of Computer Science and Data Science SACS, Meharry Medical College Nashville, USA

  16. Effective and Efficient Threat Hunting with Small Language Models

    Dec 7, 2025Saleha Muzammil, Rahul Reddy, Vishal Kamalakrishnan +2CybersecuritySmall Language Models

    University of Virginia, Charlottesville, VA, USA · Corvic, USA

  17. Multi-Agent LLM Orchestration Achieves Deterministic, High-Quality Decision Support for Incident Response

    Nov 19, 2025Philip DrammehMulti-Agent LLM SystemsLLM Agent Orchestration

    Independent Researcher

  18. Toward Cybersecurity-Expert Small Language Models

    Oct 15, 2025Matan Levi, Daniel Ohayon, Ariel Blobstein +3Cyber Threat IntelligenceCybersecurity

    1IBM Research.

  19. Adversarial Defense in Cybersecurity: A Systematic Review of GANs for Threat Detection and Mitigation

    Sep 24, 2025Tharcisse Ndayipfukamiye, Jianguo Ding, Doreen Sebastian Sarwatt +2Network Intrusion DetectionAdversarial Robustness

    Department of Computer Science and Technology, University of Science and Technology Beijing · Department of Computer Science, Blekinge Institute of Technology

  20. FALCON: Transforming Cyber Threat Intelligence into Deployable IDS Rules with Self-Reflection

    Aug 26, 2025Shaswata Mitra, Subash Neupane, Martin Duclos +5Cyber Threat IntelligenceNetwork Intrusion Detection

    The University of Alabama · Meharry Medical College · The University of Texas at El Paso

  21. Random Walk Learning and the Pac-Man Attack

    Aug 1, 2025Xingran Chen, Parimal Parag, Rohit Bhagat +2CybersecurityDecentralized Learning

    Department of Electrical and Computer Engineering, Rutgers University, Piscataway Township, NJ 08854, USA · Department of Electrical Communication Engineering, Indian Institute of Science, Bangalore, Karnataka 560012, India

  22. Label Unification for Cross-Dataset Generalization in Cybersecurity NER

    Jul 18, 2025Maciej Jalocha, Johan Hausted Schmidt, William MichelsenCross-Dataset GeneralizationNamed Entity Recognition

  23. Less Data, More Security: Advancing Cybersecurity LLMs Specialization via Resource-Efficient Domain-Adaptive Continuous Pre-training with Minimal Tokens

    Jun 30, 2025Salahuddin Salahuddin, Ahmed Hussain, Jussi Löppönen +1Language Model PretrainingDomain-Adaptive Pretraining

    SSH Communications Security, Helsinki, Finland · Aalto University, Espoo, Finland · Networked Systems Security (NSS) Group, KTH Royal Institute of Technology, Stockholm, Sweden

  24. ShIOEnv: A Command Evaluation Environment for Grammar-Constrained Synthesis and Execution Behavior Modeling

    May 23, 2025Jarrod Ragsdale, Rajendra BoppanaSynthetic Data Generation for Language ModelsCybersecurity

    Department of Computer Science, University of Texas at San Antonio, San Antonio, USA.

  25. ModSec-Learn: Boosting ModSecurity with Machine Learning

    Jun 19, 2024Christian Scano, Giuseppe Floris, Biagio Montaruli +7Cybersecurity

    University of Cagliari, Cagliari, Italy · Pluribus One, Cagliari, Italy · SAP Security Research, Mougins, France +3