Malware Detection Based on API Call Sequence Analysis: A Gated Recurrent Unit–Generative Adversarial Network Model Approach

Malware remains a major threat to computer systems, with a vast number of new samples being identified and documented regularly. Windows systems are particularly vulnerable to malicious programs like viruses, worms, and trojans. Dynamic analysis, which involves observing malware behavior during exec...

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Vydané v:	Future internet Ročník 16; číslo 10; s. 369
Hlavní autori:	Owoh, Nsikak, Adejoh, John, Hosseinzadeh, Salaheddin, Ashawa, Moses, Osamor, Jude, Qureshi, Ayyaz
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Basel MDPI AG 01.10.2024
Predmet:	Accuracy Algorithms API call sequence Application programming interface Computer worms Cybersecurity Datasets Deep learning dynamic malware analysis Efficiency Gated Recurrent Unit Generative Adversarial Network Generative adversarial networks Machine learning Malware malware detection Performance evaluation Resource utilization Sequences Software Windows (computer programs)
ISSN:	1999-5903, 1999-5903
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