IoT Malware Detection Based on OPCODE Purification
Yükleniyor...
Dosyalar
Tarih
2023
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
IUC University Press, AVES
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
Malware threat for Internet of Things (IoT) devices is increasing day by day. The constrained nature of IoT devices makes it impossible to apply high-resource-demand ing anti-malware tools for these devices. Therefore there is an enormous need for lightweight and efficient anti-malware solutions for IoT devices. In this study, machine learning-based malware detection is performed using purified OPCODE analysis for IoT devices with MIPS architecture. The proposed methodology reduced the runtime of IoT malware detection up to 7.2 times without reducing the accuracy ratio.
Açıklama
Anahtar Kelimeler
Internet of Things Malware detection, malware analysis, Operation Code analysis
Kaynak
Electrica
WoS Q Değeri
Q4
Scopus Q Değeri
Cilt
23
Sayı
3
