• DocumentCode
    624013
  • Title

    Mobile malware visual analytics and similarities of Attack Toolkits (Malware gene analysis)

  • Author

    Paturi, Anand ; Cherukuri, Manoj ; Donahue, Jeff ; Mukkamala, Srinivas

  • fYear
    2013
  • fDate
    20-24 May 2013
  • Firstpage
    149
  • Lastpage
    154
  • Abstract
    We use Normalized Compression Distance (NCD) (owing to its capabilities to perform similarity measure of unstructured data) to enumerate code similarity between malicious Android apps and visualize their clusters. Our classification methods and visual analytics can help the antivirus community to ensure that a variant of a known malware can still be detected without the need of creating a signature. We also present when a new malware is released, our methods can be used to understand the similarity/behavior with known malware families.
  • Keywords
    data analysis; data visualisation; invasive software; mobile computing; operating systems (computers); Android application; NCD; attack toolkit; code similarity; data similarity measure; malware family; malware gene analysis; mobile malware; normalized compression distance; visual analytics; Androids; Feature extraction; Humanoid robots; Mobile communication; Trojan horses; Vectors; NCD; attack toolkits; component mobile malware; cosine similarity; similarity measures; web malware;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Collaboration Technologies and Systems (CTS), 2013 International Conference on
  • Conference_Location
    San Diego, CA
  • Print_ISBN
    978-1-4673-6403-4
  • Type

    conf

  • DOI
    10.1109/CTS.2013.6567221
  • Filename
    6567221