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PMFA: Toward Passive Message Fingerprint Attacks on Challenge-Based Collaborative Intrusion Detection Networks

  • Wenjuan Li
  • Weizhi MengEmail author
  • Lam-For Kwok
  • Horace Ho Shing Ip
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9955)

Abstract

To enhance the performance of single intrusion detection systems (IDSs), collaborative intrusion detection networks (CIDNs) have been developed, which enable a set of IDS nodes to communicate with each other. In such a distributed network, insider attacks like collusion attacks are the main threat. In the literature, challenge-based trust mechanisms have been established to identify malicious nodes by evaluating the satisfaction between challenges and responses. However, we find that such mechanisms rely on two major assumptions, which may result in a weak threat model and make CIDNs still vulnerable to advanced insider attacks in practical deployment. In this paper, we design a novel type of 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 indicate that under our attack, malicious nodes can send malicious responses to normal requests while maintaining their trust values.

Keywords

Intrusion Detection System Collaborative network Insider threats Collusion attacks Challenge-based trust mechanism 

Notes

Acknowledgments

We would like to thank all anonymous reviewers for their helpful comments in improving the paper.

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Copyright information

© Springer International Publishing AG 2016

Authors and Affiliations

  • Wenjuan Li
    • 1
  • Weizhi Meng
    • 2
    • 3
    Email author
  • Lam-For Kwok
    • 1
  • Horace Ho Shing Ip
    • 1
  1. 1.Department of Computer ScienceCity University of Hong KongKowloon TongHong Kong
  2. 2.Infocomm Security DepartmentInstitute for Infocomm ResearchSingaporeSingapore
  3. 3.Department of Applied Mathematics and Computer ScienceTechnical University of DenmarkKongens LyngbyDenmark

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