Cylindrical Coordinates Security Visualization for multiple domain command and control botnet detection

Ilju Seo, Heejo Lee, Seung Chul Han

    Research output: Contribution to journalArticlepeer-review

    10 Citations (Scopus)


    The botnets are one of the most dangerous species of network-based attack. They cause severe network disruptions through massive coordinated attacks nowadays and the results of this disruption frequently cost enterprises large sums in financial losses. In this paper, we make an in-depth investigation on the issue of botnet detection and present a new security visualization tool for visualizing botnet behaviors on DNS traffic. The core mechanism is developed with the objective of enabling users to recognize security threats promptly and mitigate the damages by only visualizing DNS traffic in cylindrical coordinates. We compare our visualization method with existing ones and the experimental results show that ours has greater perceptual efficiency. The ideas and results of this study will contribute toward designing an advanced visualization technique that offers better security. Also, the approach proposed in this study can be utilized to derive new and valuable insights in security aspects from the complex correlations of Big Data.

    Original languageEnglish
    Pages (from-to)141-153
    Number of pages13
    JournalComputers and Security
    Publication statusPublished - 2014 Oct


    • Botnet detection
    • DNS traffic
    • Graph isomorphism
    • Human cognition
    • Security visualization
    • Visual signature

    ASJC Scopus subject areas

    • Computer Science(all)
    • Law


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