Detecting Malware Activities With MalpMiner: A Dynamic Analysis Approach
Author:
Affiliation:
1. Department of Computers and Systems Engineering, Faculty of Engineering, Helwan University, Helwan, Cairo, Egypt
2. Egyptian Computer Emergency Readiness Team (EG-CERT), National Telecom Regulatory Authority (NTRA), Cairo, Egypt
Funder
National Telecom Regulatory Authority
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/10005208/10100940.pdf?arnumber=10100940
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5. Efficiently learning efficient programs;cropper,2017
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1. Deep learning-powered malware detection in cyberspace: a contemporary review;Frontiers in Physics;2024-03-28
2. Redefining Malware Sandboxing: Enhancing Analysis Through Sysmon and ELK Integration;IEEE Access;2024
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