• DocumentCode
    1797350
  • Title

    Static detection of Android malware by using permissions and API calls

  • Author

    Chan, Patrick P. K. ; Wen-Kai Song

  • Author_Institution
    Dept. of Comput. Sci. & Technol., South China Univ. of Technol., Guangzhou, China
  • Volume
    1
  • fYear
    2014
  • fDate
    13-16 July 2014
  • Firstpage
    82
  • Lastpage
    87
  • Abstract
    Android smart phones have become more and more popular due to its increasing functionalities, compatibility and convenience. More and more Android applications have been developed and can be downloaded easily from app markets. However, Android malwares have increased significantly in recent years. In this paper, we proposed a feature set containing the permissions and API calls for Android malware static detection. Classifiers that used the proposed feature set outperform those only with the permissions experimentally. It showed that the information of API calls is helpful in recognizing Android malware.
  • Keywords
    Android (operating system); application program interfaces; invasive software; pattern classification; smart phones; API calls; Android applications; Android malware recognition; Android malware static detection; Android smart phones; classifiers; feature set; permissions; Abstracts; Analytical models; IEEE 802.11 Standards; Malware; Smart phones; API calls; Android malware; Permissions; Smart phones;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics (ICMLC), 2014 International Conference on
  • Conference_Location
    Lanzhou
  • ISSN
    2160-133X
  • Print_ISBN
    978-1-4799-4216-9
  • Type

    conf

  • DOI
    10.1109/ICMLC.2014.7009096
  • Filename
    7009096