• DocumentCode
    238357
  • Title

    VirusBattle: State-of-the-art malware analysis for better cyber threat intelligence

  • Author

    Miles, Craig ; Lakhotia, Arun ; LeDoux, Charles ; Newsom, Aaron ; Notani, Vivek

  • Author_Institution
    Center for Adv. Comput. Studies, Univ. of Louisiana at Lafayette, Lafayette, LA, USA
  • fYear
    2014
  • fDate
    19-21 Aug. 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Discovered interrelationships among instances of malware can be used to infer connections among seemingly unconnected objects, including actors, machines, and the malware itself. However, such malware interrelationships are currently underutilized in the cyber threat intelligence arena. To fill that gap, we are developing VirusBattle, a system employing state-of-the-art malware analyses to automatically discover interrelationships among instances of malware. VirusBattle analyses mine malware interrelationships over many types of malware artifacts, including the binary, code, code semantics, dynamic behaviors, malware metadata, distribution sites and e-mails. The result is a malware interrelationships graph which can be explored automatically or interactively to infer previously unknown connections.
  • Keywords
    computer viruses; data mining; graph theory; VirusBattle; binary; code semantics; cyber threat intelligence; distribution sites; dynamic behaviors; e-mails; malware analysis; malware artifacts; malware interrelationship mining; malware interrelationships graph; malware metadata; Computers; Data visualization; Electronic mail; Malware; Performance analysis; Semantics; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Resilient Control Systems (ISRCS), 2014 7th International Symposium on
  • Conference_Location
    Denver, CO
  • Type

    conf

  • DOI
    10.1109/ISRCS.2014.6900103
  • Filename
    6900103