Abstract
The wireless sensor network is rapidly emerging as an important tool for various applications. In this network, where a large subset of the network applications monitors and protects critical infrastructures, security is a particularly important issue. However, ensuring the security in the sensor network is complicated due to limited energy resources. In this paper, a fuzzy logic based anomaly detection scheme which provides the security to the directed diffusion protocol is proposed. The scheme is effective in preventing Denial-of-Service type attacks, which drain the energy resources within the nodes. Fuzzy logic is exploited in order to obtain a high detection rate by considering factors such as the node energy level, neighbor nodes list, message transmission rate, and error rate in the transmission.
Keywords
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
This research was supported by the MIC (Ministry of Information and Communication), Korea, under the ITRC (Information Technology Research Center) support program supervised by the IITA (Institute of Information Technology Assessment).
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Akyildiz, I.F., Weilian, S., Sankarasubramaniam, Y., Cayirci, E.: A Survey on Sensor Networks. IEEE Commun. Mag. 40(8), 102–114 (2002)
Akkaya, K., Younis, M.: A Survey of Routing Protocols in Wireless Sensor Networks. Ad Hoc networks Journal 3(3), 325–349 (2004)
Al-Karaki, J.N., Kamal, A.E.: Routing Techniques in Wireless Sensor Networks: A Survey. IEEE Wirel. Commun. 11(6), 6–28 (2004)
Shi, E., Perrig, A.: Designing secure sensor networks. IEEE Wirel. Commun. 11(6), 38–43 (2004)
Perrig, A., Stankovic, J., Wagner, D.: Security in Wireless Sensor Networks. Communication of the ACM 47(6), 53–57 (2004)
Karlof, C., Wagner, D.: Secure Routing in Wireless Sensor Networks: Attacks and Counter measures. In: Proc. of the IEEE SNPA, pp. 113–127 (2003)
Wood, A.D., Stankovic, J.A.: Denial of Service in Sensor Networks. IEEE Computer 35(10), 54–62 (2002)
Onat, I., Miri, A.: An Intrusion Detection System for Wireless Sensor Networks. In: IEEE Int’l. Conf. on WiMob, vol. 3, pp. 253–259 (2005)
Intanagonwiwat, C., Govindan, R., Estrin, D., Heidemann, J., Silva, F.: Directed Diffusion for Wireless Sensor Networking. IEEE ACM T. Network 11(1), 2–16 (2003)
Ren, Q., Liang, Q.: Secure Medial Access Control (MAC) in Wireless Sensor Networks: Intrusion Detection and Counter measures. In: Proc. of the IEEE PIMRC, vol. 4, pp. 3025–3029 (2004)
Wenliang, D., Lei, F., Peng, N.: LAD: Localization Anomaly Detection for Wireless Sensor Networks. In: Proc. of the IEEE IPDPS (2005)
Agah, A., Das, S.K., Basu, K., Asadi, M.: Intrusion Detection in Sensor Networks: A Non-cooperative Game Approach. In: Proc. of the IEEE NCA, pp. 343–346 (2004)
Su, C.C., Chang, K.M., Kuo, Y.H., Horng, M.F.: The New Intrusion Prevention and Detection Approaches for Clustering-based Sensor Networks. In: IEEE Conf. on WCNE, vol. 4, pp. 1927–1932 (2005)
Zhou, G., He, T., Stankovic, J.A., Abdelzaher, T.: RID: Radio Interference Detection in Wireless Sensor Networks. In: Proc. of the IEEE INFCOM, vol. 2, pp. 891–901 (2005)
Roman, R., Zhou, J., Lopez, J.: Applying intrusion detection systems to wireless sensor networks. In: Proc. of the IEEE CCNC, pp. 640–644 (2006)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Chi, S.H., Cho, T.H. (2006). Fuzzy Logic Anomaly Detection Scheme for Directed Diffusion Based Sensor Networks. In: Wang, L., Jiao, L., Shi, G., Li, X., Liu, J. (eds) Fuzzy Systems and Knowledge Discovery. FSKD 2006. Lecture Notes in Computer Science(), vol 4223. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11881599_88
Download citation
DOI: https://doi.org/10.1007/11881599_88
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-45916-3
Online ISBN: 978-3-540-45917-0
eBook Packages: Computer ScienceComputer Science (R0)