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

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Abstract

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.

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References

  1. Li, W., Meng, W., Kwok, L.F., Ip, H.H.S.: PMFA: toward passive message fingerprint attacks on challenge-based collaborative intrusion detection networks. In: Proceedings of the 10th International Conference on Network and System Security (NSS 2016), pp. 433–449 (2016)

  2. Chun, B., Lee, J., Weatherspoon, H., Chun, B.N.: Netbait: a distributed worm detection service. Technical Report IRB-TR-03-033, Intel Research Berkeley (2003)

  3. Douceur, J.: The sybil attack. In: Druschel, P., Kaashoek, M.F., Rowstron, A. (eds.) IPTPS 2002. LNCS, vol. 2429. Springer, Heidelberg (2002)

  4. Duma, C., Karresand, M., Shahmehri, N., Caronni, G.: A trust-aware, P2P-based overlay for intrusion detection. In: DEXA Workshop, pp. 692–697 (2006)

  5. Friedberg, I., Skopik, F., Settanni, G., Fiedler, R.: Combating advanced persistent threats: from network event correlation to incident detection. Comput. Secur. 48, 35–57 (2015)

    Article  Google Scholar 

  6. Fung, C.J., Baysal, O., Zhang, J., Aib, I., Boutaba, R.: Trust management for host-based collaborative intrusion detection. In: De Turck, F., Kellerer, W. Kormentzas, G. (eds.) DSOM 2008. LNCS, vol. 5273, pp. 109–122 (2008)

  7. Fung, C.J., Zhang. J., Aib, I., Boutaba, R.: Robust and scalable trust management for collaborative intrusion detection. In: Proceedings of the 11th IFIP/IEEE International Conference on Symposium on Integrated Network Management (IM), pp. 33–40 (2009)

  8. Fung, C.J., Zhu, Q., Boutaba, R., Basar, T.: Bayesian decision aggregation in collaborative intrusion detection networks. In: NOMS, pp. 349–356 (2010)

  9. Fung, C.J., Boutaba, R.: Design and management of collaborative intrusion detection networks. In: Proceedings of the 2013 IFIP/IEEE International Symposium on Integrated Network Management (IM), pp. 955–961 (2013)

  10. Gong, F.: Next Generation Intrusion Detection Systems (IDS). McAfee Network Security Technologies Group (2003)

  11. Gou, Z., Ahmadon, M.A.B., Yamaguchi, S., Gupta, B.B.: A Petri Net-based Framework of Intrusion Detection Systems. In: Proceedings of the 4th IEEE Global Conference on Consumer Electronics, pp. 579–583 (2015)

  12. Huebsch, R., Chun, B.N., Hellerstein, J.M., Loo, B.T., Maniatis, P., Roscoe, T., Shenker, S., Stoica, I., Yumerefendi, A.R.: The architecture of PIER: an internet-scale query processor. In: Proceedings of the 2005 Conference on Innovative Data Systems Research (CIDR), pp. 28–43 (2005)

  13. Li, Z., Chen, Y., Beach, A.: Towards scalable and robust distributed intrusion alert fusion with good load balancing. In: Proceedings of the 2006 SIGCOMM Workshop on Large-Scale Attack Defense (LSAD), pp. 115–122 (2006)

  14. Li, W., Meng, Y., Kwok, L.-F.: Enhancing trust evaluation using intrusion sensitivity in collaborative intrusion detection networks: feasibility and challenges. In: Proceedings of the 9th International Conference on Computational Intelligence and Security (CIS), pp. 518–522. IEEE, Piscataway (2013)

  15. Li, W., Meng, Y., Kwok, L.-F.: Design of intrusion sensitivity-based trust management model for collaborative intrusion detection networks. In: Proceedings of the 8th IFIP WG 11.11 International Conference on Trust Management (IFIPTM), pp. 61–76. Springer, New York (2014)

  16. Li, W., Meng, W.: Enhancing collaborative intrusion detection networks using intrusion sensitivity in detecting pollution attacks. Inform. Comput. Secur. 24(3), 265–276 (2016)

    Article  Google Scholar 

  17. Meng, Y., Kwok, L.F.: Enhancing false alarm reduction using voted ensemble selection in intrusion detection. Int. J. Comput. Intell. Syst. 6(4), 626–638 (2013)

    Article  Google Scholar 

  18. Meng, Y., Li, W., Kwok, L.F.: Towards adaptive character frequency-based exclusive signature matching scheme and its applications in distributed intrusion detection. Comput. Netw. 57(17), 3630–3640 (2013)

    Article  Google Scholar 

  19. Meng, W., Li, W., Kwok, L.-F.: An evaluation of single character frequency-based exclusive signature matching in distinct IDS environments. In: Proceedings of the 17th International Conference on Information Security (ISC), pp. 465–476 (2014)

  20. Meng, W., Li, W., Kwok, L.F.: EFM: enhancing the performance of signature-based network intrusion detection systems using enhanced filter mechanism. Comput. Secur. 43, 189–204 (2014)

    Article  Google Scholar 

  21. Meng, W., Li, W., Kwok, L.F.: Design of intelligent KNN-based alarm filter using knowledge-based alert verification in intrusion detection. Secur. Commun. Netw. 8(18), 3883–3895 (2015)

    Article  Google Scholar 

  22. Meng, W., Li, W., Xiang, Y., Choo, K.K.R.: A bayesian inference-based detection mechanism to defend medical smartphone networks against insider attacks. J. Netw. Comput. Appl. 78, 162–169 (2017)

    Article  Google Scholar 

  23. Meng, W., Li, W., Kwok, L.-F.: Towards effective trust-based packet filtering in collaborative network environments. IEEE Trans. Netw. Serv. Manag. 14(1), 233–245 (2017)

    Article  Google Scholar 

  24. Mishra, A., Gupta, B.B., Joshi, R.C.: A comparative study of distributed Denial of service attacks, intrusion tolerance and mitigation techniques. In: Proceedings of the 2011 European Intelligence and Security Informatics Conference, pp. 286–289 (2011)

  25. Papadopoulos, C., Lindell, R., Mehringer, J., Hussain, A., Govindan, R.: COSSACK: coordinated suppression of simultaneous attacks. In: Proceedings of the 2003 DARPA Information Survivability Conference and Exposition (DISCEX), pp. 94–96 (2003)

  26. Porras, P.A., Neumann, P.G.: Emerald: event monitoring enabling responses to anomalous live disturbances. In: Proceedings of the 20th National Information Systems Security Conference, pp. 353–365 (1997)

  27. Scarfone, K., Mell, P.: Guide to Intrusion Detection and Prevention Systems (IDPS). NIST Special Publication 800-94 (2007)

  28. Snapp, S.R., et al.: DIDS (distributed intrusion detection system)—motivation, architecture, and an early prototype. In: Proceedings of the 14th National Computer Security Conference, pp. 167–176 (1991)

  29. Snort: An an open source network intrusion prevention and detection system (IDS/IPS). Homepage. http://www.snort.org/

  30. Tuan, T.A.: A game-theoretic analysis of trust management in P2P systems. In: Proceedings of ICCE, pp. 130–134 (2006)

  31. Wu, Y.-S., Foo, B., Mei, Y., Bagchi, S.: Collaborative intrusion detection system (CIDS): a framework for accurate and efficient IDS. In: Proceedings of the 2003 Annual Computer Security Applications Conference (ACSAC), pp. 234–244 (2003)

  32. Yegneswaran, V., Barford, P., Jha, S.: Global intrusion detection in the DOMINO overlay system. In: Proceedings of the 2004 Network and Distributed System Security Symposium (NDSS), pp. 1–17 (2004)

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Authors and Affiliations

  1. Department of Computer Science, City University of Hong Kong, Kowloon Tong, Hong Kong

    Wenjuan Li, Lam-For Kwok & Horace H. S. Ip

  2. Department of Applied Mathematics and Computer Science, Technical University of Denmark, Lyngby, Denmark

    Weizhi Meng

Authors
  1. Wenjuan Li
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  2. Weizhi Meng
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  3. Lam-For Kwok
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  4. Horace H. S. Ip
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Corresponding author

Correspondence to Weizhi Meng.

Additional information

A preliminary version of this paper appears in Proc. of the 10th International Conference on Network and System Security (NSS), pp. 433–449, 2016 [1].

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Li, W., Meng, W., Kwok, LF. et al. Developing advanced fingerprint attacks on challenge-based collaborative intrusion detection networks. Cluster Comput 21, 299–310 (2018). https://doi.org/10.1007/s10586-017-0955-8

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