MGA-IDS: Optimal feature subset selection for anomaly detection framework on in-vehicle networks-CAN bus based on genetic algorithm and intrusion detection approach

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Aksu D., Aydın M. A.

Computers & Security, sa.118, ss.1-24, 2022 (SCI-Expanded, Scopus)

• Yayın Türü: Makale / Tam Makale
• Basım Tarihi: 2022
• Doi Numarası: 10.1016/j.cose.2022.102717
• Dergi Adı: Computers & Security
• Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, PASCAL, ABI/INFORM, Aerospace Database, Applied Science & Technology Source, Business Source Elite, Business Source Premier, Communication Abstracts, Compendex, Computer & Applied Sciences, Criminal Justice Abstracts, INSPEC, Metadex, Civil Engineering Abstracts
• Sayfa Sayıları: ss.1-24
• İstanbul Üniversitesi-Cerrahpaşa Adresli: Evet

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