• DocumentCode
    228907
  • Title

    Malware behavior image for malware variant identification

  • Author

    Mohd Shaid, Syed Zainudeen ; Maarof, Mohd Aizaini

  • Author_Institution
    Fac. of Comput., Univ. Teknol. Malaysia, Skudai, Malaysia
  • fYear
    2014
  • fDate
    26-27 Aug. 2014
  • Firstpage
    238
  • Lastpage
    243
  • Abstract
    Several methods have been devised by researchers to facilitate malware analysis and one of them is through malware visualization. Malware visualization is a field that focuses on representing malware features in a form of visual cues that could be used to convey more information about a particular malware. There has been works in malware visualization but unfortunately, there seems to be a lack of focus in visualizing malware behavior. In this paper, we highlight our findings in visualizing malware behavior and its potential benefit for malware classification. Our research shows that malware behavior visualization can be used as a way to identify malware variants with high accuracy.
  • Keywords
    data visualisation; image classification; image representation; invasive software; malware analysis; malware behavior image; malware behavior visualization; malware features representation; malware image classification; malware variant identification; visual cues; Accuracy; Data visualization; Image color analysis; Malware; Monitoring; Software; Visualization; API Call; Malware; Malware Behavior Visualization; Malware Image; Malware Variant Identification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biometrics and Security Technologies (ISBAST), 2014 International Symposium on
  • Conference_Location
    Kuala Lumpur
  • Print_ISBN
    978-1-4799-6443-7
  • Type

    conf

  • DOI
    10.1109/ISBAST.2014.7013128
  • Filename
    7013128