An open and automated android behavior monitor in cloud

Chun-Ying Huang*, Shang Pin Ma, Ming Lun Chang, Chin Hsiang Chiu, Ting Chun Huang

*Corresponding author for this work

Research output: Contribution to journalArticle

5 Scopus citations

Abstract

For security and privacy considerations, it is important for 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.

Original languageEnglish
Pages (from-to)297-305
Number of pages9
JournalJournal of Internet Technology
Volume15
Issue number2
DOIs
StatePublished - 1 Jan 2014

Keywords

  • Android
  • Behavior monitor
  • Classification
  • Dynamic analysis
  • Static analysis

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