• DocumentCode
    3007399
  • Title

    IP2User -- Identifying the Username of an IP Address in Network-Related Events

  • Author

    Shabtai, Asaf ; Morad, Idan ; Kolman, Eyal ; Eran, Ereli ; Vaystikh, Alex ; Gruss, Eyal ; Rokach, L. ; Elovici, Yuval

  • Author_Institution
    Dept. of Inf. Syst. Eng., Ben-Gurion Univ. of the Negev, Beer-Sheva, Israel
  • fYear
    2013
  • fDate
    June 27 2013-July 2 2013
  • Firstpage
    435
  • Lastpage
    436
  • Abstract
    Network devices deployed in organizations (Firewall, IDS, routers, antivirus, servers, etc.) logs users´ activity as events. Based on these events users´ behavioral profiles can be derived in order to detect anomalies, indicating potential attacks. The identifier of a user in most cases is the user´s organizational username. While events are always logged with the source IP address they are not always logged with the relevant username and therefore, many of the collected events are not directly linked with the appropriate user. In this paper we describe a method for associating an IP address with an actual username based on a set of logged events. This is crucial precondition for generating an accurate user´s profile. The proposed method was evaluated using real large datasets (logs) and showed 88% accuracy in the identification of usernames.
  • Keywords
    computer network security; user interfaces; IP address username; IP2User; anomaly detection; organizational username; user behavioral profile; Accuracy; Computers; Couplings; IP networks; Object recognition; Organizations; Servers; anomaly detection; security and event management; user profiling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Big Data (BigData Congress), 2013 IEEE International Congress on
  • Conference_Location
    Santa Clara, CA
  • Print_ISBN
    978-0-7695-5006-0
  • Type

    conf

  • DOI
    10.1109/BigData.Congress.2013.73
  • Filename
    6597177