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