Cloud-based malware Analysis System for mobile applications

Seil Kim, Seung Won Ko, Dong Hoon Lee

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)


As the mobile applications upload rapidly at the online markets, the applications with several malicious codes have appeared targeting mobile devices. Recently, the mobile malware trend is related to personal information leak or mobile device infermation leak. To find these problems, many antimalware mobile solutions such as a signature-based method or a hash-based method are proposed. But these methods cannot detect unknown malwares. In this paper, we propose an enhanced malware detection solution to detect suspicious applications in the mobile device. First, we provide Cloud App Scan to detect malwares and notify the security threats about the applications. Second, we present a Cloud-based Malware Analysis System with simulation results.

Original languageEnglish
Pages (from-to)4357-4364
Number of pages8
JournalInformation (Japan)
Issue number6 B
Publication statusPublished - 2013 Jun


  • Android
  • Cloud app scan, malicious code
  • Static analysis

ASJC Scopus subject areas

  • Information Systems


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