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. Micro-Segmentation Anomaly Detection in Zero-Trust Software-Defined Network Fabrics

    Jul 24, 2026Ashly JosephNetwork Intrusion DetectionCybersecurity

  2. A Multi-Model Hybrid Defense Approach Against White-box Adversarial Attacks in Computer Network Traffic

    Jul 19, 2026Khushnaseeb RoshanNetwork Intrusion DetectionAdversarial Robustness

    Department of Computer Science, Aligarh Muslim University (AMU), Aligarh, INDIA

  3. Boundary-Seeking GAN-Augmented TabTransformer for Adversarially Robust Intrusion Detection

    Jul 17, 2026Raihan Sultan Pasha Basuki, Aliyah KurniasihSynthetic Data AugmentationTransformer

    Department of Computer Science, Universitas Ary Ginanjar, Menara 165, Cilandak No.kav 1 Lt 2 & 18, Jakarta Selatan, 12560, DKI Jakarta, Indonesia

  4. Traffic-Aware Randomized Smoothing for LLM-Based Network Intrusion Detection

    Jul 15, 2026Zhenpeng LiRandomized SmoothingNetwork Intrusion Detection

  5. BARS: Benign-Anchored Ranking and Selection for False Alarm Reduction in Network Intrusion Detection

    Jul 14, 2026Abu Fuad Ahmad, Istiaque AhmedNetwork Intrusion DetectionFeature Selection

    Department of Computer Science New Mexico State University Las Cruces, New Mexico, USA · Graduate School of Informatics Osaka Metropolitan University Osaka, Japan

  6. F-ACVAE: A Federated Adaptive Conditional Variational Auto-Encoder for Privacy-Preserving Intrusion Detection in IoT Networks

    Jul 6, 2026Mohammad Ansarimehr, Somayeh Changiz, Ehsan Baghishani +1Network Intrusion DetectionInternet of Things

    Department of Computer Engineering, Ne. C., Islamic Azad University, Neyshabur, Iran

  7. Enhanced Feature Extraction for IoT Network Intrusion Detection Using GNNs and KAN

    Jul 3, 2026Long Zhao, Shixun Ji, Bin Cheng +1Graph Neural NetworksIoT Intrusion Detection

    Department of Control Science & Engineering, Tongji University, Shanghai 201804, China · National Key Laboratory of Autonomous Intelligent Unmanned Systems, Shanghai 201203, China

  8. RES-DARE: Failure-Aware Expert Adaptation and Rollback-Safe Self-Repair for Intrusion Detection

    Jul 2, 2026Rahil Aftab, Anyash Prasad, Soumya Mazumdar +2Adaptive Model RoutingContinual Learning

    Engineering Science Homi Bhabha National Institute Anushaktinagar, Mumbai 400094, Maharashtra, India Computer and Informatics Group Variable Energy Cyclotron Centre 1/AF, Bidhannagar, Kolkata 700064, West Bengal, India

  9. Generative AI and Federated Learning for Intrusion Detection Systems: A Survey

    Jul 1, 2026Jiefei Liu, Abu Saleh Md Tayeen, Pratyay Kumar +5Network Intrusion DetectionSynthetic Anomaly Generation

    Department of Computer Science, New Mexico State University, Las Cruces, NM, USA · University of Hartford, CT, USA · DEVCOM Analysis Center, WSMR, NM, USA

  10. Forensic-Oriented Intrusion Detection Using Synthetic Network Traffic Data and Explainable Artificial Intelligence

    Jul 1, 2026Jose Luis Vela Alonso, Carmen PellicerSynthetic Data GenerationNetwork Intrusion Detection

    CESTE, University Center, Zaragoza, Spain

  11. Cross-Domain Generalization Failure in Lightweight Intrusion Detection Models for IIoT Networks

    Jul 1, 2026MD Azizul Hakim, Md Shihab Uddin, Talha Ibne AnisIoT Intrusion DetectionNetwork Intrusion Detection

    Department of Computer Science and Technology, Bangladesh Sweden Polytechnic Institute Kaptai, Rangamati, Chittagong 4530, Bangladesh · Department of Electrical Engineering, Bangladesh Sweden Polytechnic Institute Kaptai, Rangamati, Chittagong 4530, Bangladesh

  12. Comparative Analysis of Machine Learning based Intrusion Detection in Realistic IoT Networks

    Jun 30, 2026Rana Alharbi, Chuadhry Mujeeb AhmedIoT Intrusion DetectionNetwork Intrusion Detection

    Newcastle University, UK

  13. A Hybrid Framework For Crypto-Ransomware Detection In Enterprise Shared Storage

    Jun 29, 2026Gervais Hatungimana, Abdun Naser Mahmood, Mohammad Jabed Morshed ChowdhuryNetwork Intrusion DetectionCybersecurity

    Department of Computer Science and Information Technology, La Trobe University, Melbourne, VIC, Australia

  14. CAN We Trust Your Results? A Cross-Dataset Study of Automotive IDS Evaluation

    Jun 29, 2026Beatrix Koltai, Gergely Acs, Andras GazdagBenchmark DesignNetwork Intrusion Detection

    Laboratory of Cryptography and System Security (CrySyS Lab), Budapest University of Technology and Economics, Hungary · HUN-REN-BME Information Systems Research Group, Hungary

  15. Multi-Level Distributional Entropy for Explainable Network Intrusion Detection

    Jun 29, 2026Mohamed Aly Bouke, Md Shohel Sayeed, Swee-Huay Heng +2Distribution ShiftNetwork Intrusion Detection

    Centre for Intelligent Cloud Computing, CoE for Advanced Cloud, Faculty of Information Science and Technology, Multimedia University, Jalan Ayer Keroh Lama, Bukit Beruang, 75450, Melaka, Malaysia · Department of Communication Technology and Networking, Faculty of Computer Science and Information Technology, Universiti Putra Malaysia, Serdang 43400, Malaysia · Laboratory of Computational Science and Mathematical Physics, Institute for Mathematical Research, Universiti Putra Malaysia, Serdang, Malaysia

  16. ML-Powered LDAP Reconnaissance Detection using Weak Supervision

    Jun 27, 2026Shaefer Drew, Edward Raff, Michael Brautbar +6Network Intrusion Detection

    CrowdStrike · Redmond, OR, USA · Jamesville, NY, USA +7

  17. PLAA: Packet-level Adversarial Attacks in Network Traffic Detection

    Jun 26, 2026Jinhao You, Zan Zhou, Shujie Yang +3Adversarial AttacksNetwork Intrusion Detection

    Beijing University of Posts and Telecommunications · Zhongguancun Laboratory

  18. A Hybrid CNN-LSTM Intrusion Detection Framework for Cybersecurity in Smart Renewable Energy Grids

    Jun 23, 2026Sajib Debnath, Remon DasNetwork Intrusion Detection

    O&M Analytics, AES Clean Energy · The AES Corporation · Louisville, CO 80027, USA +3

  19. Decoherence as Defence and the Magnitude of Noise Regularisation: A Rigorous N -Qubit Theory of Stochastic Quantum Neural Networks for Adversarially Robust Network Intrusion Detection

    Jun 23, 2026Gautier-Edouard Edouard FilardoNetwork Intrusion DetectionNeural Network Robustness

    CREOGN · Efrei Research Lab, Efrei Paris Panth´eon-Assas Universit´e, Villejuif, France

  20. Privacy-Preserving Federated Temporal Graph Learning with Digital Twin--Guided Adaptive Deception for Cyber-Resilient IoMT

    Jun 19, 2026Syed Zeeshan Haider, Anwar Shah, Muneeb Arif +2Federated RLAutonomous Cyber Defense

    FAST National University of Computer and Emerging Sciences, Islamabad, Pakistan

  21. Federated Temporal Attention Intelligence for Cyber-Resilient IoMT: Lightweight Digital Twins and PPO-Driven Honeypot Deception

    Jun 19, 2026Syed Zeeshan Haider, Anwar Shah, Muneeb Arif +2Federated RLAutonomous Cyber Defense

    FAST National University of Computer and Emerging Sciences, Islamabad, Pakistan

  22. MIDS: Detecting Stealthy Masquerade and Tampering Attacks on CAN Bus via Bidirectional Mamba

    Jun 17, 2026Qiqi Liu, Runhan Song, Lei Cui +3Network Intrusion Detection

    Institute of Information Engineering, Chinese Academy of Sciences, Beijing 100093, China · School of Cyber Security, University of Chinese Academy of Sciences, Beijing 100049, China · Zhongguancun Laboratory, Beijing, China

  23. Multi-Source Cybersecurity Logs: An ATT&CK-Labeled Dataset and SLM Evaluation

    Jun 16, 2026Abir Ashab Niloy, Ahmed Ryan, Imamul Hossain Rafi +2Network Intrusion DetectionCybersecurity

    University of Dhaka · The University of Alabama

  24. Graph neural networks at war: integrating cybersecurity and drone intelligence in the Israeli-Iranian conflict

    Jun 15, 2026Sozan Sulaiman Maghdid, Tarik Ahmed Rashid, Shavan AskarCyber-Physical SystemsAutonomous Cyber Defense

    Department of Information Technology, Khabat Technical Institute; Erbil Polytechnic University, Erbil, Iraq · Computer Science and Engineering Department; AIIC, University of Kurdistan Hewler, Erbil, Iraq · Department of Information Systems Engineering, Technical College of Computer and Informatics Engineering, Erbil Polytechnic University, Erbil, Iraq

  25. Timestamp-Aware Spatio-Temporal Graph Contrastive Learning for Network Intrusion Detection

    Jun 15, 2026Jianli Dai, Guangwei Wu, Jiacheng Li +3Temporal GNNsGraph SSL

    Central South University of Forestry and Technology, School of Computer Science and Mathematics, Changsha, 410004, Hunan, P.R. China · Central South University, School of Computer Science and Engineering, Changsha, 410083, Hunan, P.R. China

  26. Evaluation of AutoML Frameworks for IDS under Imbalanced Data Conditions of the NSL-KDD Dataset

    Jun 10, 2026Wiliane Carolina Silva, Evandro César Vilas Boas, Felipe A. P. de FigueiredoClass-Imbalanced LearningNetwork Intrusion Detection

    Cybersecurity and Artificial Intelligence Laboratory (CS&I Lab) of the National Institute of Telecommunications (Inatel), Santa Rita do Sapucaí, Brazil · Wireless and Artificial Intelligence Laboratory (WAI Lab) of the National Institute of Telecommunications (Inatel), Santa Rita do Sapucaí, Brazil

  27. Categorical Robustness Assessment for Machine Learning based Network Intrusion Detection Systems

    Jun 10, 2026Mayank Raj, Nathaniel D. Bastian, Lance Fiondella +1IoT Intrusion DetectionAdversarial Attacks

    University of Massachusetts Dartmouth, Dartmouth, MA 02747 USA · United States Military Academy, West Point, NY 10996 USA

  28. Do Transformers Actually Help Intrusion Detection? A Temporal Sequence Evaluation on CIC-IDS2017

    Jun 9, 2026Zach Moczkodan, Hany RagabData LeakageNetwork Intrusion Detection

    Royal Military College of Canada, Kingston, Canada · Department of Electrical and Computer Engineering, Faculty of Engineering, Royal Military College of Canada (RMC), Kingston, Ontario, K7K 7B4, Canada.

  29. nCMD: Benign-Anchored Feature Selection for Imbalanced Network Intrusion Detection

    Jun 7, 2026Abu Fuad Ahmad, Istiaque AhmedClass-Imbalanced LearningNetwork Intrusion Detection

    Department of Computer Science · New Mexico State University · Las Cruces, New Mexico, USA +3

  30. An AI Security Agent for University ACMIS: Multi-Vector Threat Detection and Automated Response

    Jun 6, 2026Joseph Walusimbi, Joshua Benjamin SsentongoAutonomous Cyber DefenseNetwork Intrusion Detection

    Department of Electronics and Computer Engineering, Soroti University, Soroti, Uganda