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. Continual Backdoor Training in IoT/CPS

    Jun 12, 2026Oxana Salish, Kuniyilh SBackdoor AttacksContinual Learning

  2. From Shield to Target: Denial-of-Service Attacks on LLM-Based Agent Guardrails

    Jun 12, 2026Yuguang Zhou, Xunguang Wang, Pingchuan Ma +3LLM GuardrailsAdversarial Attacks on LLMs

    1The Hong Kong University of Science and Technology · 2Zhejiang University of Technology

  3. AgentCyberRange: Benchmarking Frontier AI Systems in Realistic Cyber Ranges

    Jun 12, 2026Fengyu Liu, Jiarun Dai, Yihe Fan +11CybersecurityAI Agent Security Benchmarks

    Fudan University

  4. Side-Channel Attacks Bypass Protection in 3D Printers

    Jun 11, 2026Eric Yocam, Varghese Vaidyan, Micah Flack +2CybersecurityAdditive Manufacturing

    Department of Computer Science California Polytechnic State University San Luis Obispo, CA 93407, USA · Beacom College of Computer and Cyber Sciences Dakota State University Madison, SD 57042 USA · Idaho National Laboratory +2

  5. Understanding and mitigating the risks of OpenClaw for non-technical users: A practical guide with Skill

    Jun 9, 2026Junchang Zheng, Junfeng Tan, Jialiang LinCybersecurityAI Agent Security

    School of Computer Science and Engineering, Guangzhou Institute of Science and Technology, Guangzhou, China · Science and Education Evaluation Lab, Guangzhou Institute of Science and Technology, Guangzhou, China

  6. A Bayesian Network Approach for Enhancing Security-Focused Decision Support Systems

    Jun 9, 2026Carolina Fernández-Martínez, Shuaib Siddiqui, Vanesa DazaAI-Assisted Decision MakingCybersecurity

    Department of Cybersecurity, i2CAT Foundation, 08034 Barcelona, Spain · Department of Information and Communication Technologies, Universitat Pompeu Fabra, 08018 Barcelona, Spain

  7. Benchmarking and Exploring the Capabilities of LLMs for Attack Investigations

    Jun 9, 2026Aniket Anand, Yiwei Hou, Daniel Fields +4LLM EvaluationCybersecurity

    University of Chicago · USA · University of California, Berkeley +1

  8. Data Agents Under Attack: Vulnerabilities in LLM-Driven Analytical Systems

    Jun 7, 2026Kuncan Wang, Ziting Wang, Peizhuo Lv +4LLM Agent EvaluationCybersecurity

    Nanyang Technological University, Singapore · The Hong Kong Polytechnic University · Tsinghua University

  9. Physically Consistent Null Space Alignment for Detection of Low-Magnitude False Data Injection Attacks

    Jun 7, 2026Xin Li, Chenhan Xiao, Jonathan Cohen +3False Data Injection AttacksCybersecurity

    Faculty of Computer and Information Science, Ben-Gurion-University, Be’er Sheva, Israel · School of Electrical, Computer and Energy Engineering, Arizona State University, AZ, USA · Department of Computer Science, Shamoon College of Engineering, Be’er Sheva, Israel

  10. AI-Native Closed-Loop Security for 6G-Enabled Cyber-Physical Systems: From Edge Detection to Network-Wide Mitigation

    Jun 6, 2026Bilal Hussain, Muhammad Bilal, Tan Li +6Cyber-Physical Systems6G Networks

    Division of Science, Engineering, and Health Studies, School of Professional Education and Executive Development, The Hong Kong Polytechnic University, Hong Kong SAR, China · School of Computing and Communications, Lancaster University, United Kingdom · Department of Computer Science, The Hang Seng University of Hong Kong, Hong Kong SAR, China +4

  11. Closing the Sim-to-Real Gap: An Evaluation Framework for Autonomous Cyber Defense Configuration of Commercial EDR

    Jun 6, 2026Kerri Prinos, Lilianne BrushAutonomous Cyber DefenseSim-to-Real Transfer

    Horizon3.ai, San Francisco, CA, USA

  12. Semantic Quorum Assurance: Collective Certification for Non-Deterministic AI Infrastructure

    Jun 6, 2026Jun He, Deying YuAI AssuranceCybersecurity

  13. Attack Detection using Time Series Foundation Models

    Jun 4, 2026Sribalaji C. Anand, Anh Tung Nguyen, George J. PappasCyber-Physical SystemsCybersecurity

    University of Pennsylvania, United States · Uppsala University, Sweden

  14. TinyML-Driven Cybersecurity for Autonomous Spacecraft: Latency-Accuracy Analysis for SPARTA RF and Cyber Threat Detection

    Jun 4, 2026Van Le, Trevor Tran, Tan LeAutonomous Cyber DefenseCybersecurity

    Virginia Tech, Blacksburg, VA 24061, USA · Hampton University, Hampton, VA 23669, USA

  15. Hybrid CNN-LSTM Framework for Intelligent Cyber Attack Detection and Prevention in U.S. Critical Digital Infrastructure: A Comparative Machine Learning Evaluation on CSE-CIC-IDS2018

    Jun 4, 2026Md. Iqbal Hossan, Md. Serajul Kabir Chowdhury Rubel, Md. Arifur Rahman +1Autonomous Cyber DefenseNetwork Intrusion Detection

    Department of Computer Science, Maharishi International University, Fairfield, Iowa, USA. · Department of Information Studies, Trine University, Angola, Indiana, USA. · Department of Business Information Systems, Central Michigan University, Mount Pleasant, Michigan, USA.

  16. Explainable AI-Driven Cyber Risk Analytics and Model Reliability Assessment for Intelligent Governance of U.S. Critical Infrastructure: An XGBoost and SHAP-Based Intrusion Detection Framework

    Jun 4, 2026B. M. Taslimul Haque, Md. Arifur Rahman, Md. Serajul Kabir Chowdhury Rubel +1Network Intrusion DetectionCybersecurity

    Department of Business Information Systems, Central Michigan University, Mount Pleasant, Michigan, USA. · Department of Information Studies, Trine University, Angola, Indiana, USA. · Department of Computer Science, Maharishi International University, Fairfield, Iowa, USA,.

  17. Cognitive Threat Intelligence and Explainable Federated Security Analytics for distributed Infrastructure Systems

    Jun 4, 2026Md. Arifur Rahman, B. M. Taslimul Haque, Md. Iqbal Hossan +1Cyber Threat IntelligenceNetwork Intrusion Detection

    Dept. of Information Studies, Trine University, Angola, Indiana · Dept. of Business Information Systems, Central Michigan University, Mount Pleasant, Michigan · Dept. of CS, Maharishi International University, Fairfield, Iowa, USA

  18. Dimensionality Reduction for Cyberattack Classification: A Comparative Evaluation of PCA and Linear Predictive Coding

    Jun 4, 2026Nelly Elsayed, Zag ElSayed, Navid AsadizanjaniPredictive CodingPrincipal Component Analysis

    School of Information Technology University of Cincinnati Ohio, United States · Dept. of Electrical & Computer Engineering University of Florida Florida, United States

  19. SHIELDS: Automating OS Hardening with Iterative Multi-Agent Remediation

    Jun 3, 2026Andrew Hamara, Dwight Horne, Aldehir Rojas +5Multi-Agent LLM SystemsAutonomous Cyber Defense

    1L3Harris Technologies. · 2Texas A&M University.

  20. NLLog: Lightweight, Explainable SOC Anomaly Detection via Log-to-Language Rewriting

    Jun 3, 2026Samuel Ndichu, Tao Ban, Seiichi Ozawa +2Online Anomaly DetectionCybersecurity

    National Institute of Information and Communications Technology, Tokyo, Japan · Kobe University, Kobe, Japan

  21. Contrastive Learning and Correlation Clustering for Sequences of Network Telescope Data

    Jun 3, 2026Jannik Presberger, Alexander Männel, Maynard Koch +3Contrastive LearningUnsupervised Clustering

    1TU Dresden · 2HAW Hamburg · Center for Scalable Data Analytics and AI Dresden/Leipzig

  22. Treat Traffic Like Trees: A Semantic-Preserving Hierarchical Graph-Based Expert Framework for Encrypted Traffic Analysis

    Jun 3, 2026Yuantu Luo, Jun Tao, Linxiao Yu +1Graph Neural NetworksHierarchical GNNs

    School of Cyber Science and Engineering, Southeast University, Nanjing 211189, China · Purple Mountain Laboratories, Nanjing 210096, China · Engineering Research Center of Blockchain Application, Supervision and Management (Southeast University), MoE, Nanjing 211189, Jiangsu, China +1

  23. AI Agents Enable Adaptive Computer Worms

    Jun 2, 2026Jonas Guan, Tom Blanchard, Hanna Foerster +3CybersecurityMalware Analysis

    University of Toronto · University of Cambridge · 4ServiceNow

  24. FORGE: Multi-Agent Graduated Exploitation and Detection Engineering

    Jun 2, 2026Farooq ShaikhAutomated Exploit GenerationCybersecurity

    Dynatrace, Vienna, Austria

  25. Implement Kubernetes Pod-Level Remote Attestation for Confidential Workloads on dstack

    Jun 2, 2026Yang Yang, Kevin Wang, Yuanhai Luo +4CybersecurityRemote Attestation

    OPPO · Phala

  26. SECUREVENT: Hybrid AI/ML Security Monitoring for Distributed Event-Based Systems

    Jun 1, 2026Eric LiangCybersecurityAnomaly Detection

    Oracle

  27. GETA: Generalized Encrypted Traffic Analysis

    May 29, 2026Ransika Gunasekara, Rahat Masood, Salil KanhereDomain AdaptationNetwork Intrusion Detection

    University of New South Wales (UNSW)

  28. A Protocol-Language Model for Network Intrusion (Without Deep Packet Inspection)

    May 29, 2026Vivek Kumar SharmaNetwork Intrusion DetectionEncrypted Network Traffic Analysis

    Palo Alto Networks

  29. An Organization-Scoped LLM Agent Runtime Architecture for Regulated Cybersecurity Operations

    May 28, 2026George Fatouros, Georgios Makridis, George Kousiouris +2CybersecurityLLM Agent Security

    Innov-Acts Ltd Nicosia, Cyprus · Dept. of Digital Systems University of Piraeus Athens, Greece · Dept. of Informatics and Telematics Harokopio University Athens, Greece

  30. Cycle-Space Informed Detection of Autoencoded Blind False Data Injection Attacks on Power Systems

    May 27, 2026Xin Li, Chenhan Xiao, Jonathan Cohen +3False Data Injection AttacksCybersecurity

    Faculty of Computer and Information Science, Ben-Gurion-University, Be’er Sheva, Israel · School of Electrical, Computer and Energy Engineering, Arizona State University, AZ, USA · Department of Computer Science, Shamoon College of Engineering, Be’er Sheva, Israel