• DocumentCode
    3434656
  • Title

    Honey Plotter and the Web of Terror

  • Author

    Withall, Mark ; De Silva, M. Shirantha ; Parish, David ; Phillips, Iain

  • Author_Institution
    Loughborough Univ., Loughborough
  • fYear
    2007
  • fDate
    13-16 Aug. 2007
  • Firstpage
    1262
  • Lastpage
    1266
  • Abstract
    Honeypots are a useful tool for discovering the distribution of malicious traffic on the Internet and how that traffic evolves over time. In addition, they allow an insight into new attacks appearing. One major problem is analysing the large amounts of data generated by such honeypots and correlating between multiple honeypots. Honey Plotter is a web-based query and visualisation tool to allow investigation into data gathered by a distributed honeypot network. It is built on top of a relational database, which allows great flexibility in the questions that can be asked and has automatic generation of visualisations based on the results of queries. The main focus is on aggregate statistics but individual attacks can also be analysed. Statistical comparison of distributions is also provided to assist with detecting anomalies in the data; helping separate out common malicious traffic from new threats and trends. Two short case studies are presented to give an example of the types of analysis that can be performed.
  • Keywords
    Internet; relational databases; security of data; statistical analysis; telecommunication security; telecommunication traffic; Internet; Web-based query; aggregate statistics; anomaly detection; distributed honeypot network; honey plotter; honeypots; malicious traffic; relational database; visualisation tool; Aggregates; Computer hacking; Data visualization; Information security; Internet; Intrusion detection; Monitoring; Relational databases; Statistical distributions; Telecommunication traffic;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Communications and Networks, 2007. ICCCN 2007. Proceedings of 16th International Conference on
  • Conference_Location
    Honolulu, HI
  • ISSN
    1095-2055
  • Print_ISBN
    978-1-4244-1251-8
  • Electronic_ISBN
    1095-2055
  • Type

    conf

  • DOI
    10.1109/ICCCN.2007.4317994
  • Filename
    4317994