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Keyword

polymorphic malware

Description: Polymorphic malware is malicious software that changes its code or appearance across versions to evade detection by antivirus and security systems.
Wikidata ID: wiki/Q950981
OpenAlex ID: keywords/polymorphic-malware
The art of computer virus research and defense
2005 · Choice Reviews Online · 836
From ChatGPT to ThreatGPT: Impact of Generative AI in Cybersecurity and Privacy
2023 · Maanak Gupta, Charankumar Akiri, et al. · IEEE Access · 787
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Malware Obfuscation Techniques: A Brief Survey
2010 · Ilsun You, Kangbin Yim · International Conference on Broadband, Wireless Computing, Communication and Applications (BWCCA) · 584
Robust Intelligent Malware Detection Using Deep Learning
2019 · R. Vinayakumar, Mamoun Alazab, et al. · IEEE Access · 577
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Malware Analysis and Classification: A Survey
2014 · Ekta Gandotra, Divya Bansal, et al. · Journal of Information Security · 416
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Automated Behavioral Analysis of Malware: A Case Study of WannaCry Ransomware
2017 · Qian Chen, Robert A. Bridges · IEEE International Conference on Machine Learning and Applications (ICMLA) · 239
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Detecting Self-mutating Malware Using Control-Flow Graph Matching
2006 · Danilo Bruschi, Lorenzo Martignoni, et al. · Lecture notes in computer science · 239
Android Malware Familial Classification and Representative Sample Selection via Frequent Subgraph Analysis
2018 · Ming Fan, Jun Liu, et al. · IEEE Transactions on Information Forensics and Security · 233
Obfuscation: The Hidden Malware
2011 · Philip O'Kane, Sakir Sezer, et al. · IEEE Security & Privacy · 221
Malware Analysis and Detection Using Machine Learning Algorithms
2022 · Muhammad Shoaib Akhtar, Tao Feng · Symmetry · 211
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Static Analyzer of Vicious Executables (SAVE)
2005 · A.H. Sung, J. Xu, et al. · Annual Computer Security Applications Conference · 209
IMDS
2007 · Yanfang Ye, Dingding Wang, et al. · ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) · 197
An intelligent PE-malware detection system based on association mining
2008 · Yanfang Ye, Dingding Wang, et al. · Journal of Computer Virology and Hacking Techniques · 193
Malware classification based on call graph clustering
2011 · Joris Kinable, Orestis Kostakis · Journal of Computer Virology and Hacking Techniques · 192
Malware detection based on mining API calls
2010 · Ashkan Sami, Babak Yadegari, et al. · ACM Symposium on Applied Computing · 174
Fast malware classification by automated behavioral graph matching
2010 · Younghee Park, Douglas Reeves, et al. · 170
Control Flow-Based Malware VariantDetection
2013 · Silvio Cesare, Yang Xiang, et al. · IEEE Transactions on Dependable and Secure Computing · 160
Machine learning in adversarial environments
2010 · Pavel Laskov, Richard Lippmann · Machine Learning · 124
On the infeasibility of modeling polymorphic shellcode
2007 · Yingbo Song, Michael E. Locasto, et al. · Proceedings of the ACM Conference on Computer and Communications Security · 120
Revolver: an automated approach to the detection of evasiveweb-based malware
2013 · Alexandros Kapravelos, Yan Shoshitaishvili, et al. · 119
Malware detection using assembly and API call sequences
2010 · Madhu K. Shankarapani, Subbu Ramamoorthy, et al. · Journal of Computer Virology and Hacking Techniques · 116
Machine learning-assisted signature and heuristic-based detection of malwares in Android devices
2017 · Zahoor-Ur Rehman, Sidra Nasim Khan, et al. · Computers & Electrical Engineering · 104
Android malware detection method based on bytecode image
2020 · Yuxin Ding, Xiao Zhang, et al. · Journal of Ambient Intelligence and Humanized Computing · 103
An opcode‐based technique for polymorphic Internet of Things malware detection
2019 · Hamid Darabian, Ali Dehghantanha, et al. · Concurrency and Computation Practice and Experience · 103
FIRMA: Malware Clustering and Network Signature Generation with Mixed Network Behaviors
2013 · M. Zubair Rafique, Juan Caballero · Lecture notes in computer science · 103
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Works count: 1,059
Citation count: 12,740
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