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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/36625

Title: An Open Automated Android Behavior Monitor in Cloud
Authors: Chun-Ying Huang;Shang-Pin Ma;Ming-Lun Chang;Ching-Hsiang Chiu;Ting-Chun Huang
Contributors: NTOU:Department of Computer Science and Engineering
Keywords: Android;Behavior monitor;Classification;Dynamic analysis;Static analysis
Date: 2014-03
Issue Date: 2015-05-19T06:34:56Z
Publisher: Journal of Internet Technology (JIT)
Abstract: Android users to understand the behavior and the risk of an application. Although Google claims that new applications available on the official market have passed their security checks, the open design of the Android system still allows a user to install applications for thirdparty vendors. Therefore, there is still a demand for users to know more about an unknown application. In this paper, we discussed our experiences on setting up a scalable automated Android behavior monitor using virtualization techniques. Our contribution is two-fold: (1) We design and implement a scalable behavior monitor using both dynamic analysis and static analysis techniques; and (2) Based on parts of the analyzed results, we develop a preliminary filter to distinguish benign and malicious applications. The system is open to the public and we expect that the analyzed results can be fed back to the research community and further stimulate more studies on analyzing malicious Android applications.
Relation: 15(2), pp.297-306
URI: http://ntour.ntou.edu.tw/handle/987654321/36625
Appears in Collections:[資訊工程學系] 期刊論文

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