AI/ML for Security research

781 papers · Research category

Artificial intelligence and machine-learning research applies computational models to security questions such as classification, detection and information extraction. A model’s output is meaningful only in relation to its training data, evaluation design and the question it was built to answer.

Scope of this collection

The AI/ML for Security subject assignment supplies this collection’s membership. Papers may be associated with different investigative applications, including threat hunting, phishing analysis and vulnerability assessment. Category membership does not endorse a model or establish readiness for operational use.

Using this research

Compare dataset provenance, train/test separation, class balance, error rates and evaluation dates. Consider whether the test conditions resemble the intended investigation. Treat model-generated text or labels as outputs requiring verification against source evidence rather than as independent evidence of an event.

References reproduce the metadata held by ALEX. Missing author, year or source details are identified in the listing. Publication years are shown as recorded; collection and retrieval dates are not substituted. Follow the original source to verify a citation.

Bibliography

Showing 1–50 of 781 papers, ordered by publication year (newest first), then title.

Earlier research · five years or older Historical reference

Age markers as of 2026-11-06.

Enhancing the Robustness of Causal AI Systems against Adversarial Threats
Sakshi Thakur; Mohit Singh Bisht; Dinesh Singh Dhakar (2027) · Causal Artificial Intelligence
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"**Important** You should give me full credits!": Exploring Prompt Injection Attacks on LLM-Based Automatic Grading Systems
Hang Li; Fedor Filippov; Yuling Lin; Pengfei He; Kaiqi Yang; Yucheng Chu; Yingqian Cui; Hui Liu; Jiliang Tang (2026) · ArXiv.org
Collection: ALEX regular weekly discovery review queue
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"Artificial Intelligence in The Indian Banking Sector: A Strategic Tool for Enhancing Human Resource Utilization, Reducing Non-Performing Assets, Improving Profitability, Marketing Effectiveness, And Cyber Security – A Comparative Study of Scheduled Public Sector Banks, Private Sector Banks and Cooperative Banks (2020–2025)"
Korde Dr. Abhay; Joshi Tanoj (2026) · International journal of business and management invention.
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"CyberCL-SIM v1.0: A Chronological Cybersecurity Telemetry for Self-Supervised and Continual Learning"
Wael Badawy (2026) · IEEE DataPort
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"How can natural language processing improve cybersecurity threat detection?"
Sayma Nasrin Shompa (2026) · Mustansiriyah Journal of Pure and Applied Sciences
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A Multi-Stage AI Framework for Intelligent Incident Detection and Response Automation in Security Operations Centers
Mina Adel; Aboulela Abdo; Doaa Sayed; Reham Darwish; Omar Moataz (2026) · Journal of Smart Algorithms and Applications (JSAA)
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Machine Learning and Deep Learning-Based Intrusion Detection Systems: A Comprehensive Review of Datasets, Algorithms, Challenges, Explainability, and Future Research Directions
Sudhanshu Dhote; Dr. Deepak Agrawal (2026) · Interdisciplinary Journal of AI, Machine Learning & Data Science
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Deception Technology for Active Defense
Safa Mohamed; Maram Ahamed (2026) · Figshare
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The New Battleground for ICS/OT: Why AI-Driven Defense is Becoming Essential for ICS/OT Cybersecurity
Muhammad Usama Gul Khan (2026) · Figshare
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A causality-aware and explainable intelligence framework for secure and resilient cloud systems
Selvam Lakshmanan; Tamizhselvi Annamalai; Tamizharasu Kamalesan; Sethupathi Venugopal (2026) · Scientific Reports
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A Classification Framework and Research Progress on Adaptation Methods for Concept Drift in Malicious Code Detection Models
Qi Wang; Longjuan Wang; Weiwei Zhao (2026) · Future Internet
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A Comprehensive Review of Machine Learning and Deep Learning Approaches for Zero-Day Attack Detection in Cybersecurity Systems
Maha Khalil Ibrahim (2026) · Iraqi Journal for Computers and Informatics
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A comprehensive review of machine learning applications in cybersecurity: identifying gaps and advocating for cybersecurity auditing
Ndaedzo Rananga; H. S. Venter (2026) · International Journal of Information Security
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A Comprehensive Survey of Artificial Intelligence Applications in Cyber Security: Taxonomy, Challenges, and Future Directions
Shahid Alam; Ehab Alnfrawy; Amina Jameel; Sana Qadir; Zahida Parveen; Basirah Noor; Anushya Arol; Imran Chaudhry (2026) · Algorithms
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A Comprehensive Survey on Machine Learning and Deep Learning Approaches for Network Intrusion Detection Systems: Techniques, Datasets, and Open Challenges
Yahya Ali Alnattaf; Hanaa Fathi Mahmoud (2026) · Neutrosophic Optimization and Intelligent Systems
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A Comprehensive Survey on Robustness and Privacy in Federated Learning Meets Large Language Model at Edge
Deepak Adhikari; Inam Ullah; Mustafa Khadim; Negalign Wake Hundera; Rajab Ssemwogerere; Lemessa Bona Debela; Wei Jiang; Hu Xiong (2026) · Journal of Reliable and Secure Computing
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A Comprehensive Systematic Review of AI-based Network Intrusion Detection Systems: Techniques, Datasets, Challenges, and Future Research Directions
Mehdi Gheisari; Zhou Pingmei; Basheer Riskhan; Malusi Sibiya; Faizan Khan Muhammad; Seyed Kazem Gheblezadeh (2026) · Journal of Computing and Data Technology
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A Data-Driven Adaptive Cybersecurity Training Framework with Behavioral Validation
Yohannis Admasu Adamu; Shehzad Ashraf Chaudhry; Khiati Zakaria; Khalid Yahya (2026) · International Journal of Networked and Distributed Computing
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A deep generative adversarial framework with rat-optimized feature selection for efficient intrusion detection in large-scale cloud network traffic environments
S. Priya; K. Tamilarasi; Vivek Kumar Sharma; Prabu Kaliyaperumal; Balamurugan Balusamy; Samia Kouki; M. L. Alphin Ezhil Manuel; Arun Kumar Elengovan (2026) · Discover Computing
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A Deep Learning based Intrusion Detection System for Threat Detection in Metaverse Environment
Fatema Salem Alqaydi; Emad Bataineh; Neema Prakash (2026) · International Conference on Artificial Intelligence Management and Trends
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A Deep Learning-Based User Behavior Analytics Model for Proactive Cyber Threat Detection and Risk Management: A Review
Paul Akampurira; Enerst Edozie; Bashir Olaniyi Sadiq; Mohammed Dahiru Buhari (2026) · F1000Research
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A Digital Twin to Improve Cyber-Social Impact
Vita Santa Barletta; Danilo Caivano; Gabriel Cellammare; Andrea Dimauro; Pasquale Mesagna; Massimiliano Morga (2026) · arXiv (Cornell University)
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A Governance Embedded Agentic Artificial Intelligence Framework for Healthcare Cybersecurity in Resource Constrained Settings
Ibrahim Adabara; Bashir Olaniyi Sadiq; Aliyu Nuhu Shuaibu; Yale Ibrahim Danjuma; Venkateswarlu Maninti; Mutebi Joe (2026) · Springer Science and Business Media LLC
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A Hybrid AI-Driven Cybersecurity Framework For Real-Time Threat Detection Using Big Data Analytics
Gyanendra Kumar Gautam; Dr. Uday Pratap Singh (2026) · International Journal for Research in Applied Science and Engineering Technology
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A HYBRID AI-DRIVEN THREAT DETECTION FRAMEWORK FOR STRENGTHENING CYBERSECURITY IN CRITICAL INFRASTRUCTURE
Akella, Pathanjali Sastri,; Akella, Arun kumar (2026)
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A Hybrid Approach for Insider Threats Detection Using System Call Analysis and Malware API Monitoring
Pathuri Rama Krishna (2026) · International Journal for Research in Applied Science and Engineering Technology
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A Hybrid Deep Reinforcement Learning Framework for Enhanced Cyber Threat Detection Using Supervised Ensemble Decision Fusion
Bharanidharan Gurumurthy; Nalini Poornima Suresh; Kiran Ravindran; Durga Devi Saravanan; Shital Parag Dongre; Saminathan Karunakaran (2026) · VFAST Transactions on Software Engineering
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A Hybrid Explainable AI Framework for Cyber Threat Detection and Response
Yashika Bajaj (2026) · Springer Science and Business Media LLC
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A hybrid intrusion detection method based on multi-convolutional neural networks fusion and grey wolf optimizer
Mohammad Zavvar; Keyvan Karamnejadi Azar; Mahmoudreza Entezami; Masoumeh Asgharighajari; Armin Zakarian; Alireza Golkarieh; Ali Akbar Kiaei; Arash Heidari; Nima Jafari Navimipour (2026) · Journal of Cloud Computing
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A hybrid machine learning and deep learning system for phishing email detection in webmail platforms
Elda Xhumari; Rivalda Bedini (2026) · Innovations in Publishing, Printing and Multimedia Technologies
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A Hybrid Structural and Artificial Intelligence Approach for Cybersecurity Situational Awareness Among High School Students
Abdulrahman Abdullah Arishi; Nazhatul Hafizah Kamarudin; Khairul Azmi Abu Bakar (2026) · Springer Science and Business Media LLC
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A Lightweight Agentic AI Framework with DeepSeek-R1 for Adaptive Phishing URL Detection
Akshat Gaurav; Varsha Arya; Amiya Nayak; Kwok Tai Chui; Brij B. Gupta (2026) · Proceedings of the AAAI Symposium Series
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A Lightweight Approach for Adaptation of Language Models for Cybersecurity Named Entity Recognition
Smita Srivastava; Deepa Gupta; Biswajit Paul; Shubhashisa Sahoo (2026) · Journal of Cybersecurity and Privacy
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A Machine Learning Framework for Automated Spam E-mail Classification
Pranav Patil; Sonu H.T.; Prajwal S.; Sachin B. (2026) · Recent Research Reviews Journal
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A MACHINE LEARNING-BASED CYBERSECURITY FRAMEWORK FOR SECURING INTERNET OF THINGS NETWORKS
International Journal for Research In Science & Advanced Technologies (2026) · Zenodo (CERN European Organization for Nuclear Research)
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A Machine Learning-Based Data Model for Cybersecurity Resiliency Assessment and Predictive Analysis
Riyadh Jasim Mohammad; Ali Broumandnia; Razieh Farazkish; Mona Moradi (2026) · KSII Transactions on Internet and Information Systems
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A machine-learning-based system for real-time advanced persistent threat detection and prediction
Ibrahim Ghafir (2026) · e-space (Manchester Metropolitan University)
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A Malicious Policy Detection Approach Enhanced by Threat Knowledge in LLM-Based Embodied Robots
Mengjie Sun; Yaowen Zheng; Shichao Lv; Zhi Li; Kaixiang Liu; Yuncheng Wang; Yongle Chen; Limin Sun (2026) · ICASSP 2026 - 2026 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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A Multi-National Framework for Real-Time Collaborative Cyber Defense: Evaluating FL Architectures and Aggregation Strategies in Heterogeneous NIDS
Abhiram T Sajeev; Adarsh S J; Alen J S; Alfin Jerome; Amila A L (2026) · IJARCCE
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A Novel FFUEAT Technique Enhancing the Performance of Multiple URL Classification and Cybersecurity using RNN and Transformer-based Models
Zafar Ali; Siti Sophiayati Yuhaniz; Noureen Noureen; Ghulam Mujtaba; Husham M. Ahmed (2026) · Baghdad Science Journal
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A NOVEL MACHINE LEARNING TECHNIQUE FOR CYBERSECURITY NETWORK INTRUSION DETECTION SYSTEM
Olha Tomchenko (2026) · Zenodo (CERN European Organization for Nuclear Research)
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A Review of AI-Driven Cyber Emergency Response Systems: Edge Intelligence, Digital Cyber First Aid, and Human-Centric Cybersecurity
Devendra Singh Kushwaha; Uday Payghon; Manjushree Dighe; Riya Pagar; Anushka Shinde (2026) · IJARCCE
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A Review of Feature Optimization and Explainable AI for Phishing URL Detection
Parth Arvindbhai Mehta; Sheshang Degadwala (2026) · International Journal of Scientific Research in Artificial Intelligence and Machine Learning
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A Review of Security Risks of Large Medical Models
Songzhe Kang (2026) · International Journal of High School Research
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A Review on Intelligent Cybersecurity Framework using Artificial Intelligence, Blockchain and Cloud Computing for Enterprise Environments
Shegar S. R.; Chaudhari N. J.; Gadge Siddhesh Sunil (2026) · International Journal of Innovative Research in Science Engineering and Technology
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A Self-Supervised Behavioral Graph Framework for Zero-Day Cyber Attack Detection with Continual Learning
K. Vidya; S Shreyas; Sashank G; Phavankumar R L (2026) · Open MIND
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A Sociotechnical, Practitioner-Centered Approach to Technology Adoption in Cybersecurity Operations: An LLM Case
Francis Hahn; Mohd Mamoon; Alexandru G. Bardas; Michael Collins; Daniel Lende; Xinming Ou; S. Raj Rajagopalan (2026) · arXiv
Collection: ALEX regular weekly discovery review queue
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A Study on AI Technologies and Their Role in Modern Cybersecurity Threats
Dr. Urmila Kadam Dr. Urmila Kadam; Dr. Santosh Deshmukh Dr. Santosh Deshmukh; Vedangi Deshmukh Vedangi Deshmukh (2026) · International Journal of Science, Strategic Management and Technology
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A survey of heterogeneous graph neural networks for cybersecurity anomaly detection
Laura Jiang; Reza Ryan; Qian Li; Nasim Ferdosian (2026) · Journal of Computer Security
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A Survey on Federated Learning for Privacy-Preserving Artificial Intelligence in Internet of Things Systems
Arjit Sharma (2026) · Zenodo (CERN European Organization for Nuclear Research)
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Explore another perspective

These collections offer a different way into the library; their bibliographies need not contain the same papers.

Threat Hunting · Investigation type
Phishing Analysis · Investigation type
Vulnerability Assessment · Investigation type