Malware & Exploits research

122 papers · Research category

Malware and exploit research investigates malicious software and the mechanisms through which systems can be compromised. The literature can help explain a technical artefact or compare detection approaches, provided the tested environment and the available evidence are understood.

Scope of this collection

The Malware & Exploits subject category supplies the membership of this bibliography. Papers assigned here can concern malicious-code behaviour, exploit mechanisms or related detection research. Malware Analysis is a separate application-oriented collection and may contain papers assigned to other subjects.

Using this research

Read how samples were selected and labelled, which versions or architectures were tested and how findings were validated. A result from a sample set does not establish that every variant behaves the same way. Use the source paper to distinguish demonstrated behaviour from a proposed detection technique.

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Bibliography

Showing 1–50 of 122 papers, ordered by publication year (newest first), then title.

Earlier research · five years or older Historical reference

Age markers as of 2026-11-06.

A BERT and PSO framework for Android malware detection using real permissions and API calls
Abhinandan Banik; Jyoti Prakash Singh (2026) · Discover Computing
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A Comprehensive Cybersecurity Analysis of Phishing Detection Using Machine Learning and Deep Learning Approaches
Akthar Shaheda Blessington Naveen Palaparthi (2026) · Zenodo (CERN European Organization for Nuclear Research)
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A Critical Review of Android Malware Detection Techniques (2014–2026): Evaluating Static, Dynamic, Hybrid, and Deep Learning Approaches
Rishish Jain; D. A. Mehta (2026) · International Journal of Computer Trends and Technology
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A Hybrid AI System for Early Malware Detection and Automated Cybersecurity Risk Assessment
Nikhil Kashyap Adhikari (2026) · Journal of Computer Science and Technology Studies
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A Hybrid CNN–LSTM Deep Learning Framework for Automated Malware Classification using Spatial–Sequential Feature Fusion
Chevella Anil Kumar; Saradha S; Mithila Ayyavoo; Durga Devi S; Lokesha H.R; Jeevaa M (2026) · International Research Journal of Multidisciplinary Technovation
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A Hybrid Ensemble–Instance Learning Framework for Malicious URL Detection Using XGBoost and Adaptive KNN
Sehrish Munir; Shazia Yousaf; Sunbal Faraz Hayat; Khalil Aslam; Amara Javed; Imran Ahmad (2026) · International Journal for Electronic Crime Investigation
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A Hybrid Model for Minimizing Malware Threats in Cloud Computing Using Generative Adversarial Networks (GANs) and Federated Learning (FL)
Christian Chinwe Ibebuogu (2026) · International Journal of Computer Science and Mathematical Theory
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A Structured State Space Sequence Model for Multi-Class Classification of Malware
Emmanuela Andam; Rana Shaaban; Emanuel Grant; Naima Kaabouch (2026) · arXiv
Collection: ALEX regular weekly discovery review queue
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A Systematic Literature Review on the Taxonomy of Ransomware Attacks
Abdullah Al Mamun; Md Tajmilur Rahma; Yunkai Liu (2026) · Frontiers in Computer Science and Artificial Intelligence
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Addressing Data Scarcity in Malware Classification via Pixel-Level Synthetic Image Generation
Mounika Krishna Teja Karumudi; Fabio Di Troia (2026) · Electronics
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Adversarial attacks on phishing webpage detectors via heuristic search techniques
Giuseppe Lo Re; Marco Morana; Giuseppe Rizzo (2026) · Journal of Information Security and Applications
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AI Agents Enable Adaptive Computer Worms
Jonas Guan; Tom Blanchard; Hanna Foerster; Hengrui Jia; Gabriel Huang; Nicolas Papernot (2026) · arXiv (Cornell University)
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AI-Driven Malware Reverse Engineering Systems
Sagar Choudhary Sagar Choudhary; Anurag Rohila Anurag Rohila; Anubhav Kannaujiya Anubhav Kannaujiya (2026) · International Journal of Creative and Open Research in Engineering and Management
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AI-in-the-Loop Malware: A Capability-Architecture Reference Map and Defender's Counter-Architecture
Hangyu Mei (2026) · Zenodo (CERN European Organization for Nuclear Research)
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AN ANALYSIS OF CYBERTHREATS ON ANDROID APPLICATIONS
International Journal for Research In Science & Advanced Technologies (2026) · Zenodo (CERN European Organization for Nuclear Research)
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An Autonomous Self-Evolving Malware Detection System for Real-Time Threat Intelligence
Niranjan B; Jasmine K S (2026) · Springer Science and Business Media LLC
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An Optimized Hybrid Machine Learning and Deep Learning Framework for Phishing Detection
Prof. Usha K; Gowri Kannakatti; Chithra R; Boodalu Priya; Bhumika R; Gangamma (2026) · International Journal of Latest Technology in Engineering Management & Applied Science
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ANALYSIS OF FILELESS MALWARE AND ITS EVASIVE BEHAVIOUR
Alan Gopan (2026) · Zenodo (CERN European Organization for Nuclear Research)
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AUTOMATED ANDROID MALWARE DETECTION USING OPTIMAL ENSEMBLE LEARNING APPROACH FOR CYBER SECURITY
Dr .D.Kalyankumar; Buchi Bhagyasri; Pulipati Joshu Swaraj; Marri Ravi; Bhavirisetti Naveen (2026) · International Journal of Data Science and IoT Management System
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Behavioral Analysis of Malware in a Controlled Virtual Environment: A Case Study Approach
Paul Ige (2026) · Zenodo (CERN European Organization for Nuclear Research)
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Behaviour-Aware Hybrid Deep Networks for Detecting Zero-Day and Ransomware Threats
Madhan Mohan Reddy Chinthala; Harish Apuri; Kishore Bitra (2026) · International Journal of Innovative Technology and Exploring Engineering
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CSqL-m-H2LA-GRBiTM: categorical square loss-based multi-head hierarchical location attention enabled deep learning mechanism for smishing detection
Mohd Shoaib (2026) · Scientific Reports
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CyberForce: Intelligent Malware Detection Using Federated Reinforcement Learning
Dr. Bushra Tahseen; Chakali. Hemavathi (2026) · Research Digest on Engineering Management and Social Innovations
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CyberHull: Deterministic Malicious URL Isolation via Convex Hull
Avijit Gayen; Aniket Ghosal; Durba Chakraborty; Sayan Mondal; Md Abdul Aziz Al Aman; Angshuman Jana (2026) · arXiv (Cornell University)
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DCInject: Persistent Backdoor Attacks via Frequency Manipulation in Personal Federated Learning
Nahom Birhan; Daniel Wesego; Dereje Shenkut; Frank Liu; Daniel Takabi (2026) · ICASSP 2026 - 2026 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Deep Learning Approach for Malware Classification and Threat Intelligence in Hospital Management
Md Mashfiquer Rahman; Md Mosiur Rahman; Sharmin Nahar; Md Mostafijur Rahman; Md Mostafizur Rahman; Md Shahadat Hossain (2026) · Global Clinical Engineering Journal
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Deep Learning for Malware and Ransomware Defense
Hewa Majeed Zangana (2026) · Cybersecurity 5.0
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Deep Learning-Based Phishing URL Detection Using Deep Neural Network and Convolutional Neural Networks
Ahmed Bahurmuz (2026) · Journal of Cyber Law
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Deep Learning-Driven Malicious URL Detection: A comprehensive analysis using Convolutional Neural Networks A feature engineering on the Phiusiil dataset
Sunbal Faraz Hayat; Mazhar Iqbal Sharif; Hafiz Muneed Ahmad; Ali Raza Lateef; Abdul Wahab Waseem; Imran Ahmad (2026) · International Journal for Electronic Crime Investigation
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Design of an improved validation model with dynamic attribution and graph-based anomaly analysis for malware forensics
Rijvan Beg; R. K. Pateriya; Deepak Singh Tomar; Surendra Solanki (2026) · Discover Computing
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Design of an integrated evidence-driven few-shot meta-learning for zero-day malware detection and forensic attributions
Rijvan Beg; Nikhil Nigam; Yogesh Kumar Sharma; Amit Patel; Surendra Solanki; Sukhwinder Sharma; Lalit Kumar (2026) · Scientific Reports
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Detection and Classification of Email Phishing using CNN-BiLSTM Model
Aminu Kabir; Olufunmi Atoyebi Temitope; Prema Kirubakaran; Joshua Abah; Abubakar Mukhtar Ammani (2026) · FUDMA Journal of Sciences
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DistillGuard: Malicious NPM Package Detection and API Attack Chain Analysis via Static Graph and LLM Distillation
Siyuan Pang; Yepeng Yao; Zhengwei Jiang; Zijing Fan; Baoxu Liu (2026) · arXiv (Cornell University)
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DRIFT: Drift-Resilient Invariant-Feature Transformer for DGA Detection
Chaeyoung Lee; Chaeri Jung; Seonghoon Jeong (2026) · ArXiv.org
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Droidware Android Malware Dataset
Arvind Prasad; Sumit Kumar (2026) · Mendeley Data
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DSPFA: Generalized Persistent Fault Analysis based on Distributional Similarity
Jiayu Zhang; Shihui Zheng; Xinming Zhu; Yingyan Chen; Changhai Ou (2026) · IACR Transactions on Cryptographic Hardware and Embedded Systems
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Efficient and Effective Universal Adversarial Attack Against Vision-Language Pre-Training Models
Fan Yang; Yihao Huang; Ling Shi; Geguang Pu; Kailong Wang (2026) · ICASSP 2026 - 2026 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Enhancing SQL injection detection accuracy with fine-tuning LLaMa 3.2 1B using low-rank adaptation
Diash Firdaus; Idi Sumardi; Muhammad Ichwan; Maulana Seno Aji Yudhantara (2026) · TELKOMNIKA (Telecommunication Computing Electronics and Control)
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Ensemble Learning for Enhanced Malware Detection
C Shiva Rama Krishna; K. Santhi Sree (2026) · International Journal of Innovative Research in Computer and Communication Engineering
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Environmental Injection Attacks against GUI Agents in Realistic Dynamic Environments
Yitong Zhang; Ximo Li; Liyi Cai; Jia Li (2026) · Proceedings of the ACM on Software Engineering
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ERGA-Phish: Optimized Ensemble Learning Framework with Ridge Regression and Genetic Algorithm for Improved Phishing URL Detection
Chris Chinaka; Obi Nwokonkwo; Adetokunbo John-Otumu; Udoka Eze (2026) · Machine Learning Research
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EVALUATING AI-BASED TECHNIQUES FOR MALICIOUS DOMAIN DETECTION USING OPEN-SOURCE CYBERSECURITY DATASETS
Bilal Ur Rehman; Anu Priya Jaishankar (2026) · International Journal of Engineering Research and Science & Technology
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Explainable AI-Driven Zero-Day Malware Detection Using Hybrid Transformer-Graph Networks in Cloud-Native Environments
Zerminey Saleem; Muhammad Hanif Hussain Khan; Farhad Ullah; Muhammad Taha Bashir (2026) · Journal of Engineering and Computational Intelligence Review
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Explainable Attention-Based LSTM Framework for Early Detection of AI-Assisted Ransomware via File System Behavioral Analysis
Prabhudarshi Nayak; Gogulakrishnan Thiyagarajan; Debashree Priyadarshini; Vinay Bist; Rohan Swain (2026) · arXiv (Cornell University)
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Exploring the connection between coding habits and cognitive styles in malware developers
Vasilis Vouvoutsis; Constantinos Patsakis; Fran Casino (2026) · arXiv (Cornell University)
Collection: ALEX regular weekly discovery review queue
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Feature-Driven Framework for Interpretable Detection and Analysis of Android Malware Through Network and Application Behaviors
Chao Tan; Xinlu Li (2026) · Journal of Cyber Security and Mobility
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Generating Adversarial Malware Using GANs to Evade Robust Detectors
Kirollos Luka; Tamer Abdelkader; Kshirasagar Naik (2026) · Engineering Research Express
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Graph Neural Networks for Malware Classification: Comparing Graph-Structured and Sequence-Based Representations
Meer Twana Qadir; Saman Mirza Abdullah (2026) · Iraqi Journal for Computers and Informatics
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Hybrid CNN-LSTM model for phishing email detection
Ngaira Mandela; Gideon Mwendwa; Felix Etyang (2026) · Journal of Electrical Systems and Information Technology
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Hybrid Model for DGA Detection in Cybersecurity: Fast Text, CNN, BiLSTM, and Multihead Attention
Abdhine Ben Ali; Sinan Toklu; Fahadi Mugigayi; Djalabi Mahamat (2026) · Turkish Journal of Mathematics and Computer Science
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Malware Analysis · Investigation type
Vulnerability Research · Research category