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Research of Dynamic Adjustment Algorithm of Matching Rule Database of Network Intrusion Detection

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Software Engineering and Knowledge Engineering: Theory and Practice

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 162))

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Abstract

Array sequence adjustment of matching rule database is key technology in network intrusion detection system, which influences real time detection performance of network intrusion detection system. This paper introduces one static adjustment and two dynamic adjustment algorithm, analyzes working principle, test performance of three adjustment algorithm through experiment. According experiment result, ensures applying range of different algorithm, provides useful reference of selecting adjustment algorithm for developing NIDS.

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References

  1. Jiang, J.: Intrusion detection of network security. Summary of Research. Learned Journal of Software 11(11), 1460–1466 (2000)

    Google Scholar 

  2. Ren, X.: Research and realization of method of improving rule matching speed of snort. Application of Computer 23(4), 59–61 (2003)

    Google Scholar 

  3. Yan, W.: Data Structure (C Language). Press of Tsinghua University, Beijing (2002)

    Google Scholar 

  4. Zhang, Y.: Course of Operating System of Computer (third). Press of Tsinghua University, Beijing (2002)

    Google Scholar 

  5. Chen, T.: Optimization of rule set. Learned Journal of NEAI 20(6), 654–656 (2005)

    Google Scholar 

  6. Al-shaer, E., Hamed, H.: Design and Implementation of Firewall Policy Advisor Tools. Technical Report CTI-techrep0801, School of Computer Science Telecommunications and Information Systems, Depaul University (August 2002)

    Google Scholar 

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Correspondence to Zhou Yan-sen .

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© 2012 Springer-Verlag GmbH Berlin Heidelberg

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Yan-sen, Z., Yong-hao, W. (2012). Research of Dynamic Adjustment Algorithm of Matching Rule Database of Network Intrusion Detection. In: Zhang, W. (eds) Software Engineering and Knowledge Engineering: Theory and Practice. Advances in Intelligent and Soft Computing, vol 162. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29455-6_3

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  • DOI: https://doi.org/10.1007/978-3-642-29455-6_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-29454-9

  • Online ISBN: 978-3-642-29455-6

  • eBook Packages: EngineeringEngineering (R0)

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