Network Intrusion Detection

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14 papers in the last four weeks, up 367% on the four weeks before. 0.1% of all new papers.

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  1. PairAudit: Guiding Human Review with Graph Tokens under Distribution Shift

    Oct 7, 2026Jiran Tao, Binyan JiangNetwork Intrusion DetectionBlack-Box Model Auditing

    The Hong Kong Polytechnic University

  2. SwarmReconGuard: Black-Box Detection of Distributed Collective Reconnaissance by Individually Benign-Looking Agent Populations

    Oct 6, 2026Vahid Tavakkoli, Kabeh Mohsenzadegan, Kyandoghere KyamakyaAI Agent SecurityNetwork Intrusion Detection

    Institute for Smart System Technologies, University of Klagenfurt, Klagenfurt, Austria

  3. Deep Defence on Wheels: A Dual Intrusion Detection System Architecture for Comprehensive In-Vehicle Network Security

    Oct 5, 2026Shashwat Khandelwal, Shanker ShreejithNetwork Intrusion DetectionUnsupervised Anomaly Detection

    Trinity College Dublin, Ireland

  4. GCTAuto-encoder: A Cross modal Framework for Security Flaw Detection in IoT Networks

    Oct 5, 2026Najmieh Sadat SafarabadiCross-Modal LearningIoT Intrusion Detection

    Department of Computational Linguistics, University of Stuttgart, Stuttgart, Germany.

  5. AutoDP-LLM: Automating Data Pre-processing for Intrusion Detection Systems using Large Language Models

    Oct 4, 2026Bao-Phong Nguyen, Gia-Khanh Pham, Thai-Duong Do +7Network Intrusion DetectionLLMs for Cybersecurity

    Business AI Lab, College of Technology, National Economics University, Hanoi, Vietnam

  6. From Network Intrusion Detection to Blockchain-Backed Endpoint Detection and Response: Mapping the Landscape of Decentralized Detection-and-Response Architectures

    Oct 1, 2026Yahya Shahsavari, Sara Rouhani, Kaiwen ZhangAutonomous Cyber DefenseIoT Intrusion Detection

    Dept. of Software and IT Engineering ´Ecole de technologie sup´erieure ( ´ETS) Montr´eal, Qu´ebec, Canada · Dept. of Computer Science University of Calgary Calgary, Alberta, Canada

  7. Jev-IDS: System One Models for Network Intrusion Detection

    Oct 1, 2026Paulo Severo, Silvio E. Quincozes, Amanda DiasNetwork Intrusion DetectionLLMs for Cybersecurity

    Graduate Program in Software Engineering, Federal University of Pampa (UNIPAMPA), Alegrete, Rio Grande do Sul, Brazil

  8. Quantum Computing for Network Security Classification: Near-Term Classification and Long-Term Memory Efficiency

    Sep 29, 2026Yuqing Li, Poonam Bala Nehru, Yunpeng Zhang +4Network Intrusion DetectionQuantum Kernel Methods

    University of Pittsburgh, Pittsburgh, PA, USA · University of Houston, Houston, TX, USA

  9. Adversarial Debiasing of Machine Learning Models for Enhanced Network Security against DDoS Attacks

    Sep 28, 2026Aadith Sukumar, Isha Singh, Devershika Mohane +4Network Intrusion Detection

    Symbiosis Institute of Technology Pune, India · Symbiosis Center for Applied Artificial Intelligence, Pune, India · Peoples’ Friendship University of Russia Moscow, Russian Federation

  10. Unmasking Shortcut Learning in IoT Intrusion Detection: A Forensic, Multi-Paradigm Evaluation of Feature Dependence and Data Leakage

    Sep 23, 2026Uday Shankar Roy, Mahbuba Jahan MinuData LeakageIoT Intrusion Detection

    Computer Science and Engineering Khulna University of Engineering & Technology Khulna, Bangladesh

  11. BRFID: Toward Byzantine-Robust Federated Intrusion Detection

    Sep 23, 2026Asmah Muallem, Firdous Kausar, Sajid Hussain +1Byzantine-Robust Federated LearningAdversarial Attacks

    Computer Science and Data Science Meharry Medical College Nashville, TN, USA

  12. Topological Signatures of Cyber-Attack Classes in Natural Visibility Graph Representations of Network Traffic

    Sep 22, 2026Ali Melih Kanca, Ilker TurkerNetwork Intrusion DetectionGraph Classification

    Department of Computer Engineering, Faculty of Computing and Informatics Sciences, Karabuk University, Karabuk, Türkiye

  13. A GAN-Based Framework for Robust DDoS Attack Detection

    Sep 16, 2026Makram Chehayeb, Walid Fahs, Amina Rizk +2Adversarial TrainingSynthetic Data Augmentation

    Islamic University of Lebanon, Faculty of Engineering, Lebanon · Lebanese University, Faculty of Sciences, Lebanon · Polytechnic Institute of Paris, T´el´ecom Paris, LTCI, France

  14. Event-Native Symbolic-Temporal Spike Encoding Framework for Heterogeneous Cyber Streams

    Sep 14, 2026Dalton Diez, Peyton Andras, Max Shroyer +1Network Intrusion DetectionSpiking Neural Networks

    Louisiana State University Baton Rouge, Louisiana, USA

  15. Self-Verifying Anomaly Detection using Explainable AI for Cybersecurity of DER Networks

    Sep 14, 2026Damilola Popoola, Souradeep Bhattacharya, Manimaran GovindarasuCyber-Physical SystemsNetwork Intrusion Detection

    Department of Electrical and Computer Engineering Iowa State University, Ames, IA 50011

  16. Temporal and Multimodal Deep Learning for Cyberattack Detection in LEO Satellite Systems

    Sep 12, 2026Kyle Stein, Guillermo Francia III, Eman El-Sheikh +1Network Intrusion DetectionCybersecurity

    Center for Cybersecurity and AI University of West Florida Pensacola, FL, USA

  17. Robust Industrial Cyber Physical Classification Using Neuromorphic Temporal Embeddings and Hybrid SNN XGBoost Under Machine Unlearning Attacks

    Sep 9, 2026Ammar Kamoona, Sajad Koushkbaghi, Mahdi Jalili +2Cyber-Physical SystemsNetwork Intrusion Detection

    Powercor, Melbourne, VIC, Australia

  18. Concept drift mitigation through community and spectral graph analysis for the detectionof cyberattacks in network traffic

    Sep 8, 2026Julien Michel, Abdul Qadir Khan, Majed Jaber +1Concept DriftNetwork Intrusion Detection

    Laboratoire de Recherche de l’EPITA, 14-16 Rue Voltaire, Le Kremlin-Bicêtre, 94270, France · ICube, UMR7357, Université de Strasbourg, Strasbourg, 67000, France

  19. Privacy, Robustness, and Fairness Trade-offs in Federated Intrusion Detection: Geometric Indistinguishability at the Aggregation Interface

    Sep 3, 2026Adrita Rahman Tory, ABM Shawkat Ali, Md Abu Layek +1Class-Imbalanced LearningFederated Learning Aggregation

    Bangladesh University of Business and Technology (BUBT), Mirpur-2, Dhaka-1216, Bangladesh · Jagannath University, Dhaka, Bangladesh · University of New South Wales (UNSW), ACT 2601, Australia

  20. 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

    Master of Science in Information System Technology, Wilmington University, USA · Master's of Science in Data Analytics, College of Sciences and Technology, University of Houston- Downtown, USA · Master of Science in Information Technology, Washington University of Science and Technology, USA +4

  21. Dueling Deep Q-Learning for Intrusion Detection

    Aug 11, 2026Logan Luna, Matthew P. Berkowitz, Laxima Niure Kandel +1Deep Q-LearningNetwork Intrusion Detection

    Georgia Institute of Technology · Department of Electrical Engineering and Computer Science Embry-Riddle Aeronautical University Daytona Beach, USA · School of Computer Science, College of Computing, Georgia Institute of Technology, Atlanta, GA 30332 USA +1

  22. Defending Retrieval-Augmented Intrusion Detection Against Knowledge Poisoning and Prompt Injection

    Aug 8, 2026Kaysarul Anas Apurba, Md. Hasibul Hasan, Mahedee Zaman Moon +2Retrieval-Augmented ClassificationRAG Poisoning Attacks

    Laurentian University Ontario, Canada · Centennial College Ontario, Canada · The University of Osaka Osaka, Japan

  23. Enhancing Anomaly Resilience in Research Networks: A Large-Scale Forecasting Benchmark for Dynamic Security Baselining

    Aug 6, 2026Mohammad Arafath Uddin Shariff, Byrav RamamurthyNetwork Intrusion DetectionForecasting Benchmarks

    School of Computing University of Nebraska-Lincoln Lincoln, NE, USA

  24. Behavioral Residualization for Unsupervised Intrusion Detection in Automotive CAN Networks

    Aug 6, 2026Chandan Hegde, Mukundh R ReddyNetwork Intrusion DetectionCybersecurity

  25. FBID: Adaptive Personalized Federated Learning for Robust Out-of-Distribution Attack Detection in IoT Networks

    Aug 4, 2026An Khanh Bui, Cong Thanh Nguyen, Hoang-Anh Pham +2Network Intrusion DetectionInternet of Things

    UTS-HCMUT JTIRC, Ho Chi Minh City University of Technology (HCMUT), Ho Chi Minh City 700000, Vietnam. · Vietnam National University Ho Chi Minh City (VNU-HCM), Ho Chi Minh City 700000, Vietnam. · School of Electrical and Data Engineering, University of Technology Sydney, Sydney, NSW 2007, Australia.

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

    Aug 3, 2026Li YangNetwork Intrusion DetectionElectric Vehicle Charging

    Ontario Tech University, Oshawa, Ontario, Canada · Western University, London, Ontario, Canada

  27. How Benchmarks and Evaluation Protocols Shape Conclusions in Provenance-Based Intrusion Detection

    Aug 2, 2026Lorenzo Guerra, Thomas Chapuis, Guillaume Duc +2Data ProvenanceBenchmark Design

    LTCI, T´el´ecom Paris, Institut Polytechnique de Paris · Ampere Software Technology

  28. Explainable Hybrid Feature Selection for Intrusion Detection in Internet of Medical Things Environments

    Aug 1, 2026Amira Berrezzek, Hayet Djellali, Giulio Mallardi +1IoT Intrusion DetectionNetwork Intrusion Detection

    Computer Science Dept. Badji Mokhtar University Annaba, Algeria · Computer Science Dept. University of Bari Bari, Italy

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

    Jul 31, 2026Mirza AkhiNetwork Intrusion DetectionCybersecurity

    Data-Driven Computer Engineering (D2ICE) Research Centre Department of Electronic and Computer Engineering Faculty of Science and Engineering University of Limerick

  30. Robust Unsupervised Network Intrusion Detection via Federated Learning with Selective Aggregation under Anomalous Sample Contamination

    Jul 28, 2026Shohei Kamiguchi, Takayuki NishioNetwork Intrusion DetectionUnsupervised Anomaly Detection

    School of Engineering, Institute of Science Tokyo, Tokyo 152-8550, Japan