Rule Generalisation in Intrusion Detection Systems using Snort

Article, Preprint English OPEN
Aickelin, Uwe ; Twycross, Jamie ; Hesketh-Roberts, Thomas
  • Publisher: Inderscience
  • Related identifiers: doi: 10.1504/IJESDF.2007.013596, doi: 10.1504/IJESDF.2007.013596,
  • Subject: Computer Science - Neural and Evolutionary Computing | Computer Science - Cryptography and Security

Intrusion Detection Systems (IDSs) provide an important\ud layer of security for computer systems and networks, and are becoming more and more necessary as reliance on Internet services increases and systems with sensitive data are more commonly open to Internet access. An IDS’s responsibility is to detect suspicious or unacceptable system and network activity and to alert a systems administrator to this activity. The majority of IDSs use a set of signatures that define what suspicious traffic is, and Snort is one popular and actively developing open-source IDS that uses such a set of signatures known as Snort rules. Our aim is to identify a way in which Snort could be developed further by generalising rules to identify novel attacks. In particular, we attempted to relax and vary the conditions and parameters of current Snort rules, using a similar approach to classic rule learning operators such as generalisation and specialisation. We demonstrate the effectiveness of our approach through experiments with standard datasets and\ud show that we are able to detect previously undetected variants of various attacks. We conclude by discussing the general effectiveness and appropriateness of generalisation in Snort based IDS rule processing.\ud \ud Keywords: anomaly detection, intrusion detection, Snort, Snort rules
  • References (10)

    S Axelsson (2000) 'Intrusion Detection Systems: A Survey and Taxonomy', Chalmers University Tech Report, 99-15.

    M Burgess (2006) 'Probabilistic anomaly detection in distributed computer networks', Science of Computer Programming, vol 60, pp 1-26.

    T Crothers (2003) 'Implementing Intrusion Detection Systems', Wiley.

    F Esponda, S Forrest and P Helman (2004) 'A formal framework for positive and negative detection schemes', IEEE Transactions on Systems, Man, and Cybernetics-Part B: Cybernetics, 34(1), pp 357-373.

    V Fuller and T Li and J Yu and K Varadhan (1993) 'Classless Inter-Domain Routing (CIDR): an Address Assignment and Aggregation Strategy', RFC 1519.

    Free Software Foundation Inc (2006) 'GNU',

    F Gomez and F Gonzalez and D Dasgupta (2003) 'An immuno-fuzzy approach to anomaly detection', Proc. of the IEEE International Conference on Fuzzy Systems.

    J Hoagland and S Staniford (2003) 'Viewing IDS alerts: Lessons from

    Sourcefire Inc, M Roesch and C Green (2006) 'SNORT Users Manual - SNORT Release: 2.6.0',

    S Staniford, J Hoagland and J McAlerney (2002) 'Practical Automated Detection of Stealthy Portscans, Journal of Computer Security, vol 10, no 1.

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