• DocumentCode
    1788942
  • Title

    Honeypots deployment for the analysis and visualization of malware activity and malicious connections

  • Author

    Koniaris, Ioannis ; Papadimitriou, G. ; Nicopolitidis, P. ; Obaidat, Mohammad

  • Author_Institution
    Dept. of Inf., Aristotle Univ. of Thessaloniki, Thessaloniki, Greece
  • fYear
    2014
  • fDate
    10-14 June 2014
  • Firstpage
    1819
  • Lastpage
    1824
  • Abstract
    Honeypots are systems aimed at deceiving threat agents. In most of the cases the latter are cyber attackers with financial motivations, and malicious software with the ability to launch automated attacks. Honeypots are usually deployed as either production systems or as research units to study the methods employed by attackers. In this paper we present the results of two distinct research honeypots. The first acted as a malware collector, a device usually deployed in order to capture self-propagating malware and monitor their activity. The second acted as a decoy server, dropping but logging every malicious connection attempt. Both of these systems have remained online for a lengthy period of time to study the aforementioned malicious activity. During this assessment it was shown that human attackers and malicious software are constantly attacking servers, trying to break into systems or spread across networks. It was also shown that the usage of honeypots for malware monitoring and attack logging can be very effective and provide valuable data. Lastly, we present an open source visualization tool which was developed to help security professionals and researchers during the analysis and conclusion drawing phases, for use with one of the systems fielded in our study.
  • Keywords
    data visualisation; invasive software; public domain software; cyber attackers; financial motivations; honeypots deployment; malicious connections; malicious software; malware activity; open source visualization tool; threat agents; Data visualization; Grippers; IP networks; Malware; Ports (Computers); Servers; Software; data visualization; honeypot; intrusion detection; log file analysis; malware;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications (ICC), 2014 IEEE International Conference on
  • Conference_Location
    Sydney, NSW
  • Type

    conf

  • DOI
    10.1109/ICC.2014.6883587
  • Filename
    6883587