Awesome Threat Intelligence

Key papers

• Survey On Federated Learning Threats: Concepts, Taxonomy On Attacks And Defences, Experimental Study And Challenges (2022)
  Nuria Rodríguez-Barroso, Daniel Jiménez López, M. Victoria Luzón, et al.
  18.11
• Attackg: Constructing Technique Knowledge Graph From Cyber Threat Intelligence Reports (2021)
  Zhenyuan Li, Jun Zeng, Yan Chen, et al.
  16.19
• EXTRACTOR: Extracting Attack Behavior From Threat Reports (2021)
  Kiavash Satvat, Rigel Gjomemo, V. N. Venkatakrishnan
  15.88
• A Survey On Explainable Artificial Intelligence For Cybersecurity (2023)
  Gaith Rjoub, Jamal Bentahar, Omar Abdel Wahab, et al.
  14.90
• Malware Detection And Prevention Using Artificial Intelligence Techniques (2022)
  Md Jobair Hossain Faruk, Hossain Shahriar, Maria Valero, et al.
  13.84
• A Cyber Kill Chain Based Taxonomy Of Banking Trojans For Evolutionary Computational Intelligence (2018)
  Dennis Kiwia, Ali Dehghantanha, Kim-Kwang Raymond Choo, et al.
  13.44
• Deephunter: A Graph Neural Network Based Approach For Robust Cyber Threat Hunting (2021)
  Renzheng Wei, Lijun Cai, Aimin Yu, et al.
  12.99
• Exploring The Dark Side Of AI: Advanced Phishing Attack Design And Deployment Using Chatgpt (2023)
  Nils Begou, Jeremy Vinoy, Andrzej Duda, et al.
  11.29
• Enhancing Threat Detection Using Artificial Intelligence in Modern Cybersecurity Systems Using SPSS Statistics (2026)
  Rajendar Dommeti
  10.82
• DOLOS: A Novel Architecture For Moving Target Defense (2023)
  Giulio Pagnotta, Fabio de Gaspari, Dorjan Hitaj, et al.
  10.74
• Ctibench: A Benchmark For Evaluating Llms In Cyber Threat Intelligence (2024)
  Md Tanvirul Alam, Dipkamal Bhusal, Le Nguyen, et al.
  10.48
• Multi-features Based Semantic Augmentation Networks For Named Entity Recognition In Threat Intelligence (2022)
  Peipei Liu, Hong Li, Zuoguang Wang, et al.
  9.59
• Recent Advancements In Machine Learning For Cybercrime Prediction (2023)
  Lavanya Elluri, Varun Mandalapu, Piyush Vyas, et al.
  9.41
• Ransomai: Ai-powered Ransomware For Stealthy Encryption (2023)
  Jan von Der Assen, Alberto Huertas Celdrán, Janik Luechinger, et al.
  8.82
• SAGE: Intrusion Alert-driven Attack Graph Extractor (2021)
  Azqa Nadeem, Sicco Verwer, Shanchieh Jay Yang
  8.09
• Autonomous Threat Detection And Response In Cloud Security: A Comprehensive Survey Of Ai-driven Strategies (2026)
  Gaurav Sarraf, Vibhor Pal
  7.84
• Be Kind, Rewrite: Benign Projections via Rewriting Defend Against LLM Data Poisoning Attacks (2026)
  John T. Halloran et al.
  6.69
• Large Language Models Are Unreliable For Cyber Threat Intelligence (2025)
  Emanuele Mezzi, Fabio Massacci, Katja Tuma
  6.64
• Psyborg+: Modeling And Simulation For Detecting Cognitive Biases In Advanced Persistent Threats (2024)
  Shuo Huang, Fred Jones, Nikolos Gurney, et al.
  6.34
• HAPSSA: Holistic Approach To PDF Malware Detection Using Signal And Statistical Analysis (2021)
  Tajuddin Manhar Mohammed, Lakshmanan Nataraj, Satish Chikkagoudar, et al.
  6.34
• A Comprehensive Survey Of Advanced Persistent Threat Attribution: Taxonomy, Methods, Challenges And Open Research Problems (2024)
  Nanda Rani, Bikash Saha, Sandeep Kumar Shukla
  6.34
• 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
• Community Targeted Phishing: A Middle Ground Between Massive And Spear Phishing Through Natural Language Generation (2017)
  Alberto Giaretta, Nicola Dragoni
  5.84
• Jasmine: A New Active Learning Approach To Combat Cybercrime (2021)
  Jan Klein, Sandjai Bhulai, Mark Hoogendoorn, et al.
  5.84
• Agentic Intelligence for Unified Cyber Defense: A Self-Adaptive Framework for Threat Detection Across Cloud, Edge, and IoT Systems (2026)
  B. Vijetha
  5.58
• Ex-nids: A Framework For Explainable Network Intrusion Detection Leveraging Large Language Models (2025)
  Paul R. B. Houssel, Siamak Layeghy, Priyanka Singh, et al.
  5.46
• Exemplifying Emerging Phishing: QR-based Browser-in-The-Browser (BiTB) Attack (2025)
  Muhammad Wahid Akram et al.
  5.40
• Unraveling Threat Intelligence Through The Lens Of Malicious URL Campaigns (2022)
  Mahathir Almashor, Ejaz Ahmed, Benjamin Pick, et al.
  5.24
• 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
  4.80
• Adaphish: Ai-powered Adaptive Defense And Education Resource Against Deceptive Emails (2025)
  Rei Meguro, Ng S. T. Chong
  4.53
• Robust Intrusion Detection System With Explainable Artificial Intelligence (2025)
  Betül Güvenç Paltun, Ramin Fuladi, Rim El Malki
  4.53
• Discovering Command And Control (C2) Channels On Tor And Public Networks Using Reinforcement Learning (2024)
  Cheng Wang, Christopher Redino, Abdul Rahman, et al.
  4.52
• A Proactive Decoy Selection Scheme For Cyber Deception Using MITRE ATT&CK (2024)
  Marco Zambianco, Claudio Facchinetti, Domenico Siracusa
  4.52
• SwarmSense-DNN: A Trustworthy and Decentralized Neural Framework for Proactive Anomaly Defense in Consumer IoT (2026)
  Jing Yang et al.
  4.39
• TwinBI: An Agentic Digital Twin for Efficient Augmented Interactions with Business Intelligence Dashboards (2026)
  Jisoo Jang Wen-Syan Li
  4.39
• The Silent Cost of Artificial Intelligence Assistance: A Theory of Autonomy Surrender, the Recovery Mechanism, and the Restoration of Human Agency (2026)
  Ancuta Margondai et al.
  4.39
• When Should Agent Trust Be Conditional? Characterizing and Attacking Skill-Conditional Reputation in Agent Swarms (2026)
  Yihan Xia et al.
  4.39
• AgentCyberRange: Benchmarking Frontier AI Systems in Realistic Cyber Ranges (2026)
  Fengyu Liu et al.
  4.39
• Security Threats and Their Impact on Blockchain Interoperability: Identification and Countermeasures (2026)
  Shawn M. Reynolds et al.
  4.39
• Can Quantum Federated Learning Withstand Circuit-Level Backdoors? (2026)
  Aakar Mathur et al.
  4.33
• Towards Cybersecurity SuperIntelligence (CSI): What's the best harness for cybersecurity? (2026)
  V\'ictor Mayoral-Vilches et al.
  4.33
• Energy-efficient threat detection in IoT healthcare using AI and blockchain-enhanced fog–cloud architecture (2026)
  M. Alamri et al.
  4.26
• AI-Driven Cybercrime Forensics for Predictive Threat Detection and Investigative Intelligence (2026)
  Atif Khan
  4.26
• Few-shot Learning-based Cyber Incident Detection With Augmented Context Intelligence (2025)
  Fei Zuo, Junghwan Rhee, Yung Ryn Choe, et al.
  3.86
• Admin: Attacks On Dataset, Model And Input. A Threat Model For AI Based Software (2024)
  Vimal Kumar, Juliette Mayo, Khadija Bahiss
  3.58
• Enhancing Malware Detection with Generative AI: Using Variational Autoencoders to Boost Machine Learning Classifiers' Performance (2026)
  Mohammad Alharbi et al.
  3.51
• Semantic Multi-Agent Intrusion Detection for IoT:Zero-Day and Adversarial Threats with Risk-Aware Reasoning (2026)
  Saeid Jamshidi
  3.51
• Side-Channel Attacks Bypass Protection in 3D Printers (2026)
  Eric Yocam et al.
  3.51
• Detecting Bot Detection: Prevalence, Techniques, and Implications for Web Measurement Research (2026)
  Ralf Gundelach et al.
  3.51
• Poisoning the Watchtower: Prompt Injection Attacks Against LLM-Augmented Security Operations Through Adversarial Log Content (2026)
  Rohan Pandey et al.
  3.45
• SEED: Semi-supervised Continual MalwarE Detection for Tackling ConcEpt Drift on a BuDget (2026)
  Suresh Kumar Amalapuram et al.
  3.45
• Building an Adversarial Malware Dataset by Family and Type: Generation, Evasion, and Poisoning Evaluation (2026)
  David Ko\v{s}\v{t}\'al et al.
  3.45
• A Systematic Survey Of Model Extraction Attacks And Defenses: State-of-the-art And Perspectives (2025)
  Kaixiang Zhao, Lincan Li, Kaize Ding, et al.
  3.44
• Towards Secure Mlops: Surveying Attacks, Mitigation Strategies, And Research Challenges (2025)
  Raj Patel, Himanshu Tripathi, Jasper Stone, et al.
  2.93
• Explainable AI For Enhancing IDS Against Advanced Persistent Kill Chain (2025)
  Bassam Noori Shaker, Bahaa Al-Musawi, Mohammed Falih Hassan
  2.93
• Rule-att&ck Mapper (RAM): Mapping SIEM Rules To Ttps Using Llms (2025)
  Prasanna N. Wudali, Moshe Kravchik, Ehud Malul, et al.
  2.93
• Improving Network Threat Detection By Knowledge Graph, Large Language Model, And Imbalanced Learning (2025)
  Lili Zhang, Quanyan Zhu, Herman Ray, et al.
  2.93
• When MCP Servers Attack: Taxonomy, Feasibility, And Mitigation (2025)
  Weibo Zhao, Jiahao Liu, Bonan Ruan, et al.
  2.93
• CVE-Bench: A Benchmark for AI Agents' Ability to Exploit Real-World Web Application Vulnerabilities (2025)
  Yuxuan Zhu et al.
  2.76
• Discerning Reliable Cyber Threat Indicators For Timely Cyber Threat Intelligence (2023)
  Dincy R Arikkat, Vinod P., Rafidha Rehiman K. A., et al.
  2.26