Cluster Computing

, Volume 21, Issue 1, pp 299–310 | Cite as

Developing advanced fingerprint attacks on challenge-based collaborative intrusion detection networks

  • Wenjuan Li
  • Weizhi MengEmail author
  • Lam-For Kwok
  • Horace H. S. Ip


Traditionally, an isolated intrusion detection system (IDS) is vulnerable to various types of attacks. In order to enhance IDS performance, collaborative intrusion detection networks (CIDNs) are developed through enabling a set of IDS nodes to communicate with each other. Due to the distributed network architecture, insider attacks are one of the major threats. In the literature, challenge-based trust mechanisms have been built to identify malicious nodes by evaluating the satisfaction levels between challenges and responses. However, such mechanisms rely on two major assumptions, which may result in a weak threat model. In this case, CIDNs may be still vulnerable to advanced insider attacks in real-world deployment. In this paper, we propose a novel collusion attack, called passive message fingerprint attack (PMFA), which can collect messages and identify normal requests in a passive way. In the evaluation, we explore the attack performance under both simulated and real network environments. Experimental results demonstrate that our attack can help malicious nodes send malicious responses to normal requests, while maintaining their trust values.


Intrusion detection system Collaborative network Insider threats Collusion attacks Challenge-based trust mechanism 


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Copyright information

© Springer Science+Business Media New York 2017

Authors and Affiliations

  • Wenjuan Li
    • 1
  • Weizhi Meng
    • 2
    Email author
  • Lam-For Kwok
    • 1
  • Horace H. S. Ip
    • 1
  1. 1.Department of Computer ScienceCity University of Hong KongKowloon TongHong Kong
  2. 2.Department of Applied Mathematics and Computer ScienceTechnical University of DenmarkLyngbyDenmark

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