Transformer-based malware detection using process resource utilization metrics

Transformer-based malware detection using process resource utilization metrics

Malware detection has long relied on signature-based methods limited in detecting zero-day malware attacks. Although efficient, these approaches are vulnerable to obfuscation and evasion techniques. To this end, dynamic approaches utilizing process resource-utilization metrics have emerged as promis...

詳細記述

書誌詳細
主要な著者: Dimosthenis Natsos, Andreas L. Symeonidis
フォーマット: 論文
言語:English
出版事項: Elsevier 2025-03-01
シリーズ:Results in Engineering
主題:
Dynamic malware signatures
Malware cascading effect
Malware detection
Multivariate series classification
Performance metrics
Resource utilization metrics
オンライン･アクセス:http://www.sciencedirect.com/science/article/pii/S2590123025003366

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http://www.sciencedirect.com/science/article/pii/S2590123025003366

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