Machine Learning Based Obfuscated Malware Detection in the Cloud Environment with Nature-Inspired Feature Selection
Author:
Affiliation:
1. Delhi Technological University,Dept. of Electronics and Comm. Engineering,Delhi,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10028979/10028744/10029271.pdf?arnumber=10029271
Reference32 articles.
1. Detecting Obfuscated Malware using Memory Feature Engineering;carrier;ICISS,2022
2. Particle swarm optimization
3. Volatile memory analysis using the MinHash method for efficient and secured detection of malware in private cloud
4. Memory snapshot dataset of a compromised host with malware using obfuscation evasion techniques
5. Svm
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1. Detection and Analysis of Malicious Software Using Machine Learning Models;Sakarya University Journal of Computer and Information Sciences;2024-08-31
2. A Lightweight Obfuscated Malware Multi-class Classifier for IoT Using Machine Learning;2024 International Conference on Computing, Networking and Communications (ICNC);2024-02-19
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