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Obfuscated Malware Detection: Investigating Real-world Scenarios through Memory Analysis
April 4, 2024, 4:42 a.m. | S M Rakib Hasan, Aakar Dhakal
cs.LG updates on arXiv.org arxiv.org
Abstract: In the era of the internet and smart devices, the detection of malware has become crucial for system security. Malware authors increasingly employ obfuscation techniques to evade advanced security solutions, making it challenging to detect and eliminate threats. Obfuscated malware, adept at hiding itself, poses a significant risk to various platforms, including computers, mobile devices, and IoT devices. Conventional methods like heuristic-based or signature-based systems struggle against this type of malware, as it leaves no …
analysis arxiv cs.cl cs.cr cs.lg detection malware malware detection memory through type world
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