Eurasian Journal of Academic Research 2-jild 13-son (2022) · 1058–1064-betlar

ANDROID MALWARE CLASSIFICATION APPROACH BASED ON HOST-LEVEL ENCRYPTED TRAFFIC SHAPING

Latipova, Nodira, Ibragimov, Jaloliddin

DOI: 10.5281/zenodo.7478822 · Manbada o'qish → · PDF (manba serverida)

Annotatsiya

With the development of mobile terminals, smartphones have attracted a very huge number of users with their powerful functions. Among them, Android system is famous for its opensource and convenience, which occupies a large market share. But this also leads many attackers to use their malware to gain benefits quickly, which make it necessary to design a practical android malware detection approach. At present, there are not many pieces of research on detecting malware by analyzing Android malicious traffic.

Android malware classification; Host-level traffic; Encrypted traffic analysis; Machine learning; Confusion classifier.

Metadata manbasi: jurnal OAI-PMH arxivi · Sindex to'liq matnni saqlamaydi, manbaga havola beradi.