Detecting and Confining Sybil Attack in Wireless Sensor Networks Based on Reputation Systems Coupled with Self-organizing Maps-Reference-Cited by-同舟云学术

Detecting and Confining Sybil Attack in Wireless Sensor Networks Based on Reputation Systems Coupled with Self-organizing Maps

Published:2010 Issue: Volume: Page:311-318
ISSN:1868-4238
Container-title:IFIP Advances in Information and Communication Technology
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Author:

Banković Zorana,Fraga David,Moya José M.,Vallejo Juan Carlos,Araujo Álvaro,Malagón Pedro,de Goyeneche Juan-Mariano,Villanueva Daniel,Romero Elena,Blesa Javier

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-16239-8_41

Reference6 articles.

1. Newsome, J., Shi, E., Song, D., Perrig, A.: The Sybil Attack in Sensor Networks: Analysis & Defenses. In: Proceedings of ACM/IEEE International Conference on Information Processing in Sensor Networks, April 26-27, pp. 259–268. ACM, Berkeley (2004)

2. Rieck, K., Laskov, P.: Linear Time Computation of Similarity for Sequential Data. J. Mach. Learn. Res. 9, 23–48 (2008)

3. Bar El, H.: Introduction to Side Channel Attacks. Discretix Technologies Ltd. (2003)

4. Moya, J.M., et al.: Improving Security for SCADA Sensor Networks with Reputation Systems and Self-Organizing Maps. Sensors 9, 9380–9397 (2009)

5. Banković, Z., Moya, M.J.M., Araujo, A., Fraga, D., Vallejo, J.C., de Goyeneche, J.M.: Distributed Intrusion Detection System for WSNs based on a Reputation System coupled with Kernel Self-Organizing Maps. Int. Comp. Aided Design (to be published)

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