UTHM Institutional Repository

Android malware detection based on network traffic using decision tree algorithm

Zulkifli, Aqil and A Hamid, Isredza Rahmi and Md Shah, Wahidah and Abdullah, Zubaile (2018) Android malware detection based on network traffic using decision tree algorithm. In: Proceedings of the Third International Conference on Soft Computing and Data Mining (SCDM 2018), 06-07 February 2018, Johor, Malaysia.

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Abstract

Android mobile operating system has well developed and gained absolute popularity among user. Although android is an open source operating system, it fits user daily life requirement nowadays. However, this is the reason why android malware keep on increasing every year. There are various method used to detect the occurrence of android malware such as based on static or dynamic analysis. Static analysis is favourable approach because it is quick and inexpensive. However, the static analysis unable to monitor the malicious application behavior during runtime. Therefore, we proposed a dynamic detection technique based on network traffic which records the application behavior during runtime. We consider seven network traffic features extracted from Drebin and Contagiodumpset dataset. The Drebin dataset achieved higher accuracy value with 98.4% as compared to Contagiodumpset dataset when tested using J48 decision tree algorithm.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Android; malware; decision tree algorithm
Subjects: Q Science > QA Mathematics > QA76 Computer software
Divisions: Faculty of Computer Science and Information Technology > Department of Information Security
Depositing User: Mr. Mohammad Shaifulrip Ithnin
Date Deposited: 29 Aug 2019 03:46
Last Modified: 29 Aug 2019 03:46
URI: http://eprints.uthm.edu.my/id/eprint/11503
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