Intelligent detection and forensics method for malware based on memory opcode genes

Abstract To tackle the challenge posed by the extensive use of obfuscation, packing, encryption, and other means by current malware, which results in numerous variants and decreased identification accuracy alongside increased false negatives and false positives in current detection methods, this pap...

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Autori principali:	Binglong Li, Shilong Yu, Yong Zhao, Yifeng Sun, Hongwei Zhou, Yuchen Zhang, Chaowen Chang, Qingxian Wang
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Springer 2026-02-01
Serie:	Journal of King Saud University: Computer and Information Sciences
Soggetti:	Malware detection Memory forensics Deep learning Memory opcode genes Graph convolutional network Transformer
Accesso online:	https://doi.org/10.1007/s44443-026-00521-z
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