• DocumentCode
    3710438
  • Title

    Detecting malware with similarity to Android applications

  • Author

    Wonjoo Park;Sun-joong Kim;Won Ryu

  • Author_Institution
    Intelligent Convergence Media Research Department, ETRI, Daejeon, Korea
  • fYear
    2015
  • Firstpage
    1249
  • Lastpage
    1251
  • Abstract
    In light of the rapid growth of smartphones, there are unrelenting malicious attacks on smartphones from voice phishing to mobile malwares. Especially, SMiShing malicious application has become a crucial threat on smartphone since it can be easily rampant via URLs embedded in SMS messages and emails. SMiShing attack installs the malicious application, it has been exploited by financial fraud and leak of private information stored on the smartphone. Our solution intercepts and gathers the malicious application and analyzing it instead of smartphone. It can block installing malicious application on smartphone and also analyze fast and accurately. Also, a number of malicious applications targeting Android operation system are similar to known malware and repackaged an existed malicious application. It presents a unique feature that the downloaded applications can be compared with accumulated malwares. In this paper, we propose the detection system for android malicious application using static analysis along with malicious feature similarity.
  • Keywords
    "Smart phones","Malware","Androids","Humanoid robots","Servers","Mobile communication","Feature extraction"
  • Publisher
    ieee
  • Conference_Titel
    Information and Communication Technology Convergence (ICTC), 2015 International Conference on
  • Type

    conf

  • DOI
    10.1109/ICTC.2015.7354788
  • Filename
    7354788