Key papers

• Enhancing Threat Detection Using Artificial Intelligence in Modern Cybersecurity Systems Using SPSS Statistics (2026)
  Rajendar Dommeti
  11.70
• ExploitGym: Can AI Agents Turn Security Vulnerabilities into Real Attacks? (2026)
  Zhun Wang et al.
  9.84
• Application of Deep Reinforcement Learning for Intrusion Detection in Internet of Things: A Systematic Review (2025)
  Saeid Jamshidi et al.
  9.48
• Recent Advancements In Machine Learning For Cybercrime Prediction (2023)
  Lavanya Elluri, Varun Mandalapu, Piyush Vyas, et al.
  9.41
• Network Intrusion Datasets: A Survey, Limitations, and Recommendations (2025)
  Patrik Goldschmidt et al.
  8.07
• From Past to Present: A Survey of Malicious URL Detection Techniques, Datasets and Code Repositories (2025)
  Ye Tian et al.
  7.55
• Security Concerns for Large Language Models: A Survey (2025)
  Miles Q. Li and Benjamin C. M. Fung
  7.13
• Be Kind, Rewrite: Benign Projections via Rewriting Defend Against LLM Data Poisoning Attacks (2026)
  John T. Halloran and Noopur S. Bhatt
  6.64
• GenXSS: an AI-Driven Framework for Automated Detection of XSS Attacks in WAFs (2025)
  Vahid Babaey and Arun Ravindran
  6.47
• A Cyber Threat Intelligence Sharing Scheme Based On Federated Learning For Network Intrusion Detection (2021)
  Mohanad Sarhan, Siamak Layeghy, Nour Moustafa, et al.
  6.34
• A Scalable Hierarchical Intrusion Detection System for Internet of Vehicles (2025)
  Md Ashraf Uddin et al.
  6.28
• DroidTTP: Mapping Android Applications with TTP for Cyber Threat Intelligence (2025)
  Dincy R Arikkat et al.
  6.17
• Securing RAG: A Risk Assessment and Mitigation Framework (2025)
  Lukas Ammann et al.
  6.01
• CTI-HAL: A Human-Annotated Dataset for Cyber Threat Intelligence Analysis (2025)
  Sofia Della Penna et al.
  5.96
• AI Agents Enable Adaptive Computer Worms (2026)
  Jonas Guan et al.
  5.52
• Agentic Intelligence for Unified Cyber Defense: A Self-Adaptive Framework for Threat Detection Across Cloud, Edge, and IoT Systems (2026)
  B. Vijetha
  5.52
• Autonomous AI-based Cybersecurity Framework for Critical Infrastructure: Real-Time Threat Mitigation (2025)
  Jenifer Paulraj et al.
  5.46
• eX-NIDS: A Framework for Explainable Network Intrusion Detection Leveraging Large Language Models (2025)
  Paul R. B. Houssel et al.
  5.46
• Toward Malicious Clients Detection in Federated Learning (2025)
  Zhihao Dou et al.
  5.35
• Exemplifying Emerging Phishing: QR-based Browser-in-The-Browser (BiTB) Attack (2025)
  Muhammad Wahid Akram et al.
  5.35
• Robust Knowledge Distillation in Federated Learning: Counteracting Backdoor Attacks (2025)
  Ebtisaam Alharbi et al.
  5.18
• SoK: Attack and Defense Landscape of Mobile On-device AI Systems (2026)
  Yujin Huang et al.
  5.01
• Cognitive Firewall: A Proactive, Zero-Trust, Multi-Gate Framework for LLM Safety (2026)
  Michele Guida et al.
  5.01
• Hamm-Grams: An Algorithm for Mining Regular Expressions of Bytes (2026)
  Derek Everett et al.
  5.01
• Pmeta-TLA: Backdoor Attacks for Speech Classification Models via Meta-Learning with Timbre Leakage Attack (2026)
  Yueming Huang et al.
  5.01
• Event Burst Trigger: An Availability Backdoor Attack on Event-Based SNN Object Detection (2026)
  Jaesun Baek et al.
  5.01
• Malaika: Understanding Malware through Tri-Grounded Agentic Reasoning (2026)
  Xingzhi Qian et al.
  5.01
• When Routes Run Out: Adversarial Co-Learning and Explainable Robustness in Quantum Repeater Networks (2026)
  Brennan Bell et al.
  5.01
• Triggering Stealthy Feature Map Backdoors via Physical Fault Injection in Embedded Neural Networks (2026)
  Steyn Hommes et al.
  5.01
• Impact of Benign Connectivity Variations on Intrusion Detection for Encrypted OPC UA Traffic in Industrial Private 5G Networks (2026)
  Song Son Ha et al.
  5.01
• Plausible Deniability Guarantees for Whistleblowers (2026)
  Leo Richter et al.
  5.01
• Intentional Electromagnetic Interference Attacks on Facial Recognition (2026)
  Tyler Fitzsimmons et al.
  5.01
• Every Model Cheats: Prompt-Level Mitigation of Cheating on Offensive Cyber Tasks (2026)
  Michael Kouremetis et al.
  5.01
• Cleaning the NTP Pool: Detecting and Mitigating NTP-Sourced IPv6 Scanning (2026)
  Erik Rye et al.
  5.01
• PoCEvolve: Generating Proof-of-Concept Exploits from Security Patches with Vulnerability-Aware Prompt Evolution (2026)
  Duc Manh Tran et al.
  5.01
• DeFiScreener: Efficient DeFi Attack Pre-screening in Smart Contracts via Historical Case Matching (2026)
  Rui Cao et al.
  5.01
• CyberChainBench: Can AI Agents Secure Smart Contracts Against Real-World On-Chain Vulnerabilities? (2026)
  Jintao Huang et al.
  4.95
• Verifying Intent and Harm: A Unified Defense Against LLM-Generated Threats (2026)
  Poojitha Thota et al.
  4.95
• Adaptive Evaluation of Out-of-Band Defenses Against Prompt Injection in LLM Agents (2026)
  Praneeth Narisetty et al.
  4.95
• MIRROR: Novelty-Constrained Memory-Guided MCTS Red-Teaming for Agentic RAG (2026)
  Inderjeet Singh et al.
  4.95
• Jailbreaking for the Average Jane: Choosing Optimal Jailbreaks via Bandit Algorithms for Automatically Enhanced Queries (2026)
  Prarabdh Shukla et al.
  4.95
• Integrated LLM-Based Intrusion Detection with Secure Slicing xApp for Securing O-RAN-Enabled Wireless Network Deployments (2025)
  Joshua Moore et al.
  4.87
• A systematic literature review of unsupervised learning algorithms for anomalous traffic detection based on flows (2025)
  Alberto Miguel-Diez et al.
  4.82
• Seven Security Challenges That Must be Solved in Cross-domain Multi-agent LLM Systems (2025)
  Ronny Ko et al.
  4.82
• Multi-Agent Framework for Threat Mitigation and Resilience in AI-Based Systems (2025)
  Armstrong Foundjem et al.
  4.80
• Mitigation of Camouflaged Adversarial Attacks in Autonomous Vehicles--A Case Study Using CARLA Simulator (2025)
  Yago Romano Martinez et al.
  4.76
• CND-IDS: Continual Novelty Detection for Intrusion Detection Systems (2025)
  Sean Fuhrman et al.
  4.76
• MalDataGen: A Modular Framework for Synthetic Tabular Data Generation in Malware Detection (2025)
  Kayua Oleques Paim and Angelo Gaspar Diniz Nogueira and Diego Kreutz and Weverton Cordeiro and Rodrigo Brandao Mansilha
  4.75
• OCR-APT: Reconstructing APT Stories from Audit Logs using Subgraph Anomaly Detection and LLMs (2025)
  Ahmed Aly (1) et al.
  4.69
• Where the Devil Hides: Deepfake Detectors Can No Longer Be Trusted (2025)
  Shuaiwei Yuan et al.
  4.42
• A Survey of Attacks on Large Language Models (2025)
  Wenrui Xu et al.
  4.42
• Memory-Native Non-Terrestrial Networks for Embodied Intelligence (2026)
  Chengyang Li et al.
  4.39
• A Non-Line-of-Sight, Multi-Modality-based Side-Channel IP Theft Attack on Additive Manufacturing Using Dual Smartphones (2026)
  Amirhossein Jamarani et al.
  4.39
• (A)I Sees What You Don't: Exploiting New Attack Surfaces in Third-Party Mobile Agents (2026)
  Zidong Zhang et al.
  4.39
• KidnapRAG: A Black-Box Attack for Hijacking Reasoning in Agentic Retrieval-Augmented Generation Systems (2026)
  Chanwoo Choi et al.
  4.39
• Minos: A Multi-Agent Collaborative Framework for Provenance-Based Backward Tracking (2026)
  Jiahui Wang et al.
  4.39
• Toward a Unified Security and Privacy Framework for AI-Native 6G Networks (2026)
  Bidushi Barua et al.
  4.39
• Data-driven mitigation of catastrophic forgetting in dynamic physical layer attack detection (2026)
  Aleksandra Knapi\'nska et al.
  4.39
• All-out Attack: Optimal Block Withholding Under Pay-Per-Share Scheme (2026)
  Mustafa Doger et al.
  4.39
• Blockchain Attacks and Defenses: A Layered and Cross-Domain Survey (2026)
  Junjie Hu et al.
  4.39