An empirical study of problems and evaluation of IoT malware classification label sources

An empirical study of problems and evaluation of IoT malware classification label sources

With the proliferation of malware on IoT devices, research on IoT malicious code has also become more mature. Most studies use learning models to detect or classify malware. Therefore, ensuring high-quality labels for malware samples is crucial to maintaining research accuracy. Researchers typically...

Deskribapen osoa

Xehetasun bibliografikoak
Egile Nagusiak: Tianwei Lei, Jingfeng Xue, Yong Wang, Thar Baker, Zequn Niu
Formatua: Artikulua
Hizkuntza:English
Argitaratua: Elsevier 2024-01-01
Saila:Journal of King Saud University: Computer and Information Sciences
Gaiak:
Malware classification
Malware label
IoT malware analysis
Anti-Virus engine label
Label tool
Sarrera elektronikoa:http://www.sciencedirect.com/science/article/pii/S1319157823004524

Internet

http://www.sciencedirect.com/science/article/pii/S1319157823004524

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