Android-based malware classification using algorithm with particle swarm optimization /

Android-based malware classification using algorithm with particle swarm optimization /

The detection rate of any malware detection system depends on the quality of selected applications features and feature selection techniques. The basic idea in this thesis is to use apriori algorithm to generate candidates (flagbearers) from the feature set of android applications for classification...

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書目詳細資料
主要作者:	Adebayo, Olawale Surajudeen (Author)
格式:	Thesis
語言:	English
出版:	Kuala Lumpur : Kulliyyah of Information and Communication Techology, International Islamic University Malaysia, 2017
主題:	Theses, IIUM local
在線閱讀:	http://studentrepo.iium.edu.my/handle/123456789/5625
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

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