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Energy-Efficient Intrusion Detection System for Wireless Sensor Network Based on MUSK Architecture

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Book cover High Performance Computing and Applications

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5938))

Abstract

Wireless Sensor Network (WSN) is usually deployed in hostile and uncontrollable environment. The WSN is vulnerable to security threats due to its hostile nature. There are several static security techniques in order to make WSN secure. These techniques are encryption keys, VPN, firewalls etc. All these techniques provide security from external threats. Additionally, these techniques do not provide strong security mechanism because of limited energy resources of WSN. There is a need of dynamic, real time and energy-efficient security mechanism for WSN. The existing real time security mechanisms are energy and time consuming. We have proposed a dynamic, real time and energy efficient Intrusion Detection System (IDS). Our proposed approach minimizes the security control messages and eliminates the need to update the signatures manually.

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References

  1. Kalantzis, S.: Security Models for Wireless Sensor Networks (2006)

    Google Scholar 

  2. Alemdar, A., Ibnkahla, M.: Wireless Sensor Networks: Applications and Chalenges. IEEE, Los Alamitos (2007)

    Google Scholar 

  3. Sun, B., Osborne, L.: Intrusion Detection Techniques In Mobile Ad Hoc And Wireless Sensor networks, The University of Alabama Sghaier Guizani, University of Quebec at Trois-Rivieres

    Google Scholar 

  4. Chen, R.-C., Hsieh, C.-F., Huang, Y.-F.: A New Method for Intrusion Detection on Hierarchical Wireless Sensor Networks. ACM, New York (2009)

    Google Scholar 

  5. Huai-bin, W., Zheng, Y., Chun-dong, W.: International Conference on Communications and Mobile Computing Intrusion Detection for Wireless Sensor Networks Based on Multi-Agent and Refined Clustering. In: IEEE International Conference on Communications and Mobile Computing (2009)

    Google Scholar 

  6. Ngai, E., Liu, J., Lyu, M.: On the Intruder Detection for Sinkhole Attack in Wireless Sensor Networks. In: IEEE International Conference on Communications, ICC 2006 (2006)

    Google Scholar 

  7. Ioannis, K., Dimitriou, T., Freiling, F.: Towards Intrusion Detection in Wireless Sensor Networks. In: 13th European Wireless Conference (2007)

    Google Scholar 

  8. Ren, Q., Liang, Q.: Secure Media Access Control (MAC) in wireless sensor networks: intrusion Detections and Countermeasures. In: 15th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (2004)

    Google Scholar 

  9. Lewis, F., Cook, D.J., Das, S.K., John, W.: Wireless Sensor Networks Smart Environments Technologies (2004)

    Google Scholar 

  10. Wei, Y., Paul, L., Havinga, J.M.: How to Secure a Wireless Sensor Network. In: ISSNIP. IEEE, Los Alamitos (2005)

    Google Scholar 

  11. Yu, Z.: A Framework of Machine Learning Based Intrusion Detection for Wireless Sensor Networks. In: International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing. IEEE, Los Alamitos (2008)

    Google Scholar 

  12. Kuldeep, K., Sharma Ghose, M.K.: Wireless Sensor Networks Security: A New Approach, Computer Science and Engineering Department, Sikkim Manipal Institute of Technology, India

    Google Scholar 

  13. Hai, T.H., Huh, E.-N.: Minimizing the Intrusion Detection Modules in Wireless Sensor Networks. IEEE, Los Alamitos (2008)

    Google Scholar 

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© 2010 Springer-Verlag Berlin Heidelberg

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Khanum, S., Usman, M., Hussain, K., Zafar, R., Sher, M. (2010). Energy-Efficient Intrusion Detection System for Wireless Sensor Network Based on MUSK Architecture. In: Zhang, W., Chen, Z., Douglas, C.C., Tong, W. (eds) High Performance Computing and Applications. Lecture Notes in Computer Science, vol 5938. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-11842-5_28

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  • DOI: https://doi.org/10.1007/978-3-642-11842-5_28

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-11841-8

  • Online ISBN: 978-3-642-11842-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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