• DocumentCode
    612032
  • Title

    Finding the Linchpins of the Dark Web: a Study on Topologically Dedicated Hosts on Malicious Web Infrastructures

  • Author

    Zhou Li ; Alrwais, Sumayah ; Yinglian Xie ; Fang Yu ; Xiaofeng Wang

  • fYear
    2013
  • fDate
    19-22 May 2013
  • Firstpage
    112
  • Lastpage
    126
  • Abstract
    Malicious Web activities continue to be a major threat to the safety of online Web users. Despite the plethora forms of attacks and the diversity of their delivery channels, in the back end, they are all orchestrated through malicious Web infrastructures, which enable miscreants to do business with each other and utilize others´ resources. Identifying the linchpins of the dark infrastructures and distinguishing those valuable to the adversaries from those disposable are critical for gaining an upper hand in the battle against them. In this paper, using nearly 4 million malicious URL paths crawled from different attack channels, we perform a large-scale study on the topological relations among hosts in the malicious Web infrastructure. Our study reveals the existence of a set of topologically dedicated malicious hosts that play orchestrating roles in malicious activities. They are well connected to other malicious hosts and do not receive traffic from legitimate sites. Motivated by their distinctive features in topology, we develop a graph-based approach that relies on a small set of known malicious hosts as seeds to detect dedicate malicious hosts in a large scale. Our method is general across the use of different types of seed data, and results in an expansion rate of over 12 times in detection with a low false detection rate of 2%. Many of the detected hosts operate as redirectors, in particular Traffic Distribution Systems (TDSes) that are long-lived and receive traffic from new attack campaigns over time. These TDSes play critical roles in managing malicious traffic flows. Detecting and taking down these dedicated malicious hosts can therefore have more impact on the malicious Web infrastructures than aiming at short-lived doorways or exploit sites.
  • Keywords
    Internet; security of data; telecommunication traffic; TDS; attack channels; dark Web; graph-based approach; linchpins; low false detection rate; malicious URL paths; malicious Web infrastructures; malicious hosts; seed data; short-lived doorways; topologically dedicated hosts; traffic distribution systems; Crawlers; Feeds; Labeling; Servers; Topology; Twitter; Uniform resource locators;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Security and Privacy (SP), 2013 IEEE Symposium on
  • Conference_Location
    Berkeley, CA
  • ISSN
    1081-6011
  • Print_ISBN
    978-1-4673-6166-8
  • Electronic_ISBN
    1081-6011
  • Type

    conf

  • DOI
    10.1109/SP.2013.18
  • Filename
    6547105