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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| Main Author: | |
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| Format: | Thesis |
| Language: | English |
| Published: |
Kuala Lumpur :
Kulliyyah of Information and Communication Techology, International Islamic University Malaysia,
2017
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| Subjects: | |
| Online Access: | http://studentrepo.iium.edu.my/handle/123456789/5625 |
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