Malware Analysis research — Page 2

89 papers · Investigation type

Continuation of the Malware Analysis collection. See the first page for its scope and research guidance.

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Bibliography

Showing 51–89 of 89 papers, ordered by publication year (newest first), then title.

Earlier research · five years or older Historical reference

Age markers as of 2026-11-06.

Memory-Based Detection of Obfuscated Malware Using PSO-Optimized Deep Learning to Enhance Cybersecurity Posture
Amal Alazba; Kayan Almutairi; Sarah Albassam; Abdulmajeed Alameer (2026) · Electronics
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Multi-level malware subfamily attribution from RGB executable images using attention-augmented deep learning
Maheep Saxena; Tanurup Das (2026) · Scientific Reports
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Multi-view convolutional neural networks for cybersecurity applications
Stuart Millar (2026) · Research Portal (Queen's University Belfast)
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Multimodal generative cyber forensics network for unified malware intelligence synthesis through temporal evidence alignment, neuro-symbolic hypergraph reasoning, and cognitive threat attributions
Rijvan Beg; R. K. Pateriya; Deepak Singh Tomar; Ghanshyam Raghuwanshi; Surendra Solanki (2026) · Scientific Reports
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Performance analysis of machine learning models with optimized feature selection techniques for darknet traffic classification
Felix Etyang; Pramod Pavithran; Gideon Mwendwa; Sheenamol Yoosaf; Ngaira Mandela (2026) · Discover Computing
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Permission-Based Android Malware Classification Using Genetic Algorithm
Anukeerthana D; Sathiya Shree S; P. Jeyanthi (2026) · Zenodo (CERN European Organization for Nuclear Research)
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POLYMORPHIC MALWARE IN DIGITAL FORENSICS: A SYSTEMATIC SCOPING REVIEW OF DETECTION TECHNIQUES, TOOLS, AND FORENSIC APPLICABILITY
Ujjval Rana; Krishna Modi; Kapil Shukla (2026) · Journal of Digital Security and Forensics
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Privacy-focused artificial intelligence model for detecting deepfake-based cyber threats
Selvavinayagam G.; Guhan E.; Raman A. Sankar; Vanipriya R.; Vinoth S. (2026) · World Journal of Advanced Research and Reviews
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Quantum Machine Learning in Cybersecurity: A Hybrid Convolutional Neural Network with Skip Connections for QR Code Phishing Detection
Md Farhan Shahriyar (2026) · Springer Science and Business Media LLC
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Retrieval-Augmented Few-Shot Malware Detection via Binary Visualization and Vision–Language Embeddings
Woo Jin Jung; Nae-Joung Kwak; Byoung-Yup Lee (2026) · Applied Sciences
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Review on Malware Detection and Classification Using Machine Learning and Deep Learning Techniques
Umesh Balami; Bhoj Raj Ghimire (2026) · American Journal of Data Science and Artificial Intelligence
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Sandbox Secrets: Building Safe Spaces for Dangerous Code
Daniel Rosehill; Gemini 3.1 (Flash); Chatterbox TTS (2026) · Zenodo (CERN European Organization for Nuclear Research)
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Scalable Malware Family Classification Using Quantum Kernel Based Machine Learning
Ratun Rahman; Hassan Jalil Hadi; Christopher Gabriel Pedraza Pohlenz; Ali Shoker (2026) · ArXiv.org
Collection: ALEX regular weekly discovery review queue
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Secure mobile agent environments: A cybersecurity approach for malicious agent classification
Mohammad Asim; Anil Kumar Sagar (2026) · EDPACS
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Seeing the Forest: A Taxonomy-Guided Analysis and Improvement of Malicious PyPI Package Detectors
Zibo Liu; Junjie Wang; Sen Chen (2026) · Proceedings of the 2nd International Workshop on Software Genomics
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Socio-economic Analysis of Three Use Cases of AI Powered Electromagnetic Interference Analysis for Sustainability Applications
Gutleber Johannes; Alessandro Bottoni; Zografska Aleksandra; Pourzand Saba (2026) · Zenodo (CERN European Organization for Nuclear Research)
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Temporal Evaluation of Hybrid Artificial Intelligence and Machine Learning Models for Malware Detection using The EMBER Dataset
Muhammad Jahanzeb; Muhammad Asim; Muhammad Faisal Memon; Muhammad Usman (2026) · Journal of Global Social Transformation
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The CodeInverter Suite: Structure- and Data-Aware Binary Decompilation with Efficient LLMs
Peipei Liu; Jian Sun; Rongkang Sun; Li Chen; Zhaoteng Yan; Xiaoling Zhang; Dawei Wang; Dapeng Sun; Peizheng Zhang; Dan Li (2026) · Proceedings of the 41st IEEE/ACM International Conference on Automated Software Engineering
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The Measurement Framework for Underestimated Failure Modes of Past-only Query Policies in Open-World Malware Family Classification
Jiali Che; Haoqing Ren; Tingting Sun (2026) · Frontiers in Computing and Intelligent Systems
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Transformer Framework Enhanced by Large Language Models for Image-based Multi-class Malware Detection
Gaurav Mehta; Pradeepta Kumar Sarangi; Shaily Jain; Vikas Tripathi (2026) · International Journal of Information Technology and Computer Science
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Unmasking Polymorphic Malware and Its Detection Techniques in Internet of Things (IoT): A Comprehensive Review
Simanta Saikia; Firos A (2026) · International Journal of Computer Networks and Applications
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Visualization based malware classification under extreme class imbalance: a transfer learning approach with systematic ablation
G. P. Raghudathesh; M. P. Pavan Kumar; Thimmaraja Yadava G; Nagaraja B. G.; Prathviraj N. (2026) · Scientific Reports
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A Hybrid Approach to Malware Detection: Integrating Few-Shot Model-Agnostic Meta-Learning with Autoencoders
Emmanuela Andam; Yasir Abbas Zaidi; Abdelali Hadir; Emmanuel Grant; Naima Kaabouch (2025) · 2025 Cyber Awareness and Research Symposium (CARS)
Collection: ALEX regular weekly discovery review queue
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Catch Me If You Scan: A Longitudinal Analysis of Stalkerware Evasion Tactics
Anahitha Vijay; Luis A. Saavedra; Alice Hutchings (2025) · 2025 APWG Symposium on Electronic Crime Research (eCrime)
Collection: APWG.org eCrimes Research · Original collection
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Family Ties: A Close Look at the Influence of Static Features on the Precision of Malware Family Clustering
Antonino Vitale; Kevin van Liebergen; Juan Caballero; Savino Dambra; Platon Kotzias; Simone Aonzo; Davide Balzarotti (2025) · 2025 APWG Symposium on Electronic Crime Research (eCrime)
Collection: APWG.org eCrimes Research · Original collection
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SHADOWBOX: A Low-Artifact Framework for Analyzing Evasive Malicious Code
Javad Zandi; Lalchandra Rampersaud; Amin Kharraz (2025) · 2025 APWG Symposium on Electronic Crime Research (eCrime)
Collection: APWG.org eCrimes Research · Original collection
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EAGLEEYE Attention to Unveil Malicious Event Sequences from Provenance Graphs
Philipp Gysel; Candid Wüest; Kenneth Nwafor; Otakar Jašek; Andrey Ustyuzhanin; Dinil Mon Divakaran (2024) · 2024 APWG Symposium on Electronic Crime Research (eCrime)
Collection: APWG.org eCrimes Research · Original collection
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ModZoo: A Large-Scale Study of Modded Android Apps and Their Markets
Luis Adan Saavedra; Hridoy Sankar Dutta; Alastair R. Beresford; Alice Hutchings (2024) · 2024 APWG Symposium on Electronic Crime Research (eCrime)
Collection: APWG.org eCrimes Research · Original collection
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Evolution of IoT Linux Malware: A MITRE ATT&CK TTP Based Approach
5+
Veronica Chierzi; Fernando Merces (2021) · 2021 APWG Symposium on Electronic Crime Research (eCrime)
Collection: APWG.org eCrimes Research · Original collection
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This work reflects the evidence and technical environment at the time of publication. Its methods and insights may remain valuable, while some findings or practical guidance may have been refined or superseded by subsequent research and developments. Please consult more recent sources before applying it to current research or investigations.
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Open Source Intelligence for Malicious Behavior Discovery and Interpretation
5+
Yi-Ting Huang; Chi Yu Lin; Ying-REN Guo; Kai-Chieh Lo; Yeali S. Sun; Meng Chang Chen (2021) · IEEE Transactions on Dependable and Secure Computing
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This work reflects the evidence and technical environment at the time of publication. Its methods and insights may remain valuable, while some findings or practical guidance may have been refined or superseded by subsequent research and developments. Please consult more recent sources before applying it to current research or investigations.
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Malware-Detection Method with a Convolutional Recurrent Neural Network Using Opcode Sequences
5+
Author metadata incomplete (2020) · Elsevier / ScienceDirect
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This work reflects the evidence and technical environment at the time of publication. Its methods and insights may remain valuable, while some findings or practical guidance may have been refined or superseded by subsequent research and developments. Please consult more recent sources before applying it to current research or investigations.
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Dine and Dash: Static, Dynamic, and Economic Analysis of In-Browser Cryptojacking
5+
Muhammad Saad; Aminollah Khormali; Aziz Mohaisen (2019) · 2019 APWG Symposium on Electronic Crime Research (eCrime)
Collection: APWG.org eCrimes Research · Original collection
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This work reflects the evidence and technical environment at the time of publication. Its methods and insights may remain valuable, while some findings or practical guidance may have been refined or superseded by subsequent research and developments. Please consult more recent sources before applying it to current research or investigations.
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Transfer Learning Approach for Identification of Malicious Domain Names
5+
Author metadata incomplete (2019) · Springer
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This work reflects the evidence and technical environment at the time of publication. Its methods and insights may remain valuable, while some findings or practical guidance may have been refined or superseded by subsequent research and developments. Please consult more recent sources before applying it to current research or investigations.
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A Key-Management-Based Taxonomy for Ransomware
5+
Pranshu Bajpai; Aditya K Sood; Richard Enbody (2018) · 2018 APWG Symposium on Electronic Crime Research (eCrime)
Collection: APWG.org eCrimes Research · Original collection
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This work reflects the evidence and technical environment at the time of publication. Its methods and insights may remain valuable, while some findings or practical guidance may have been refined or superseded by subsequent research and developments. Please consult more recent sources before applying it to current research or investigations.
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Automatic Detection of Malware-Generated Domains with Recurrent Neural Models
5+
Author metadata incomplete (2017) · arXiv
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This work reflects the evidence and technical environment at the time of publication. Its methods and insights may remain valuable, while some findings or practical guidance may have been refined or superseded by subsequent research and developments. Please consult more recent sources before applying it to current research or investigations.
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Evaluating randomness in cyber attack textual artifacts
5+
Xuan Zhao; Jay Luan; Matt Wolff (2016) · 2016 APWG Symposium on Electronic Crime Research (eCrime)
Collection: APWG.org eCrimes Research · Original collection
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This work reflects the evidence and technical environment at the time of publication. Its methods and insights may remain valuable, while some findings or practical guidance may have been refined or superseded by subsequent research and developments. Please consult more recent sources before applying it to current research or investigations.
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Which malware lures work best? Measurements from a large instant messaging worm
5+
Tyler Moore; Richard Clayton (2015) · 2015 APWG Symposium on Electronic Crime Research (eCrime)
Collection: APWG.org eCrimes Research · Original collection
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This work reflects the evidence and technical environment at the time of publication. Its methods and insights may remain valuable, while some findings or practical guidance may have been refined or superseded by subsequent research and developments. Please consult more recent sources before applying it to current research or investigations.
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Empirical analysis of factors affecting malware URL detection
5+
Marie Vasek; Tyler Moore (2013) · 2013 APWG eCrime Researchers Summit
Collection: APWG.org eCrimes Research · Original collection
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This work reflects the evidence and technical environment at the time of publication. Its methods and insights may remain valuable, while some findings or practical guidance may have been refined or superseded by subsequent research and developments. Please consult more recent sources before applying it to current research or investigations.
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Taming Zeus by leveraging its own crypto internals
5+
Marco Riccardi; Roberto Di Pietro; Jorge Aguila Vila (2011) · 2011 eCrime Researchers Summit
Collection: APWG.org eCrimes Research · Original collection
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This work reflects the evidence and technical environment at the time of publication. Its methods and insights may remain valuable, while some findings or practical guidance may have been refined or superseded by subsequent research and developments. Please consult more recent sources before applying it to current research or investigations.
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These collections offer a different way into the library; their bibliographies need not contain the same papers.

Malware & Exploits · Research category
AI/ML for Security · Research category