Abstract
In many application contexts, the nodes in a sensor network may be required to gather information relevant to their locations. This process of location estimation or localization is a critical aspect for all the location related applications of sensor networks. Localization helps nodes find their absolute position coordinates. Like possibly every system, localization systems are prone to attacks. Through this study we intend to do a low-level identification and analysis of broad, large-scale threat to mobile sensor localization systems due to attacks. In this paper, we study the behaviour of some well-known basic localization schemes under by far the most dangerous attacks on localization called wormhole attacks. The network and attacker model assumed in the paper are chosen so that the analysis unleashes the possibility of a resilient solution to the wormhole attacks problem independent of the nodes not under the effect of attacks.
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References
Maheshwari, R., Gao, J., Das, S.: Detecting wormhole attacks in wireless networks using connectivity information. In: International Conference on Computer Communications, Infocom (2007)
Zhang, S., Cao, J., Chen, L., Chen, D.: Accurate and Energy-Efficient Range-Free Localization for Mobile Sensor Networks. IEEE Transactions on Mobile Computing 9(6) (June 2010)
Hu, L., Evans, D.: Localization for Mobile Sensor Networks. In: Proc. ACM MobiCom, pp. 45–57 (2004)
Baggio, A., Langendoen, K.: Monte-Carlo Localization for Mobile Wireless Sensor Networks. In: Cao, J., Stojmenovic, I., Jia, X., Das, S.K. (eds.) MSN 2006. LNCS, vol. 4325, pp. 317–328. Springer, Heidelberg (2006)
Rudafshani, M., Datta, S.: Localization in Wireless Sensor Networks. In: Proc. Sixth International Conf. Information Processing in Sensor Networks (IPSN 2007), pp. 51–60 (2007)
Lazos, L., Poovendran, R., Capkun, S.: ROPE: Robust Position Estimation in Wireless Sensor Networks. In: The Proceedings of the 4th International Symposium on Information Processing in Sensor Networks, IPSN 2005 (2005)
Bettstetter, C., Hartenstein, H., Perez-Costa, X.: Stochastic Properties of the Random Waypoint Mobility Model. ACM/Kluwer Wireless Networks, Special Issue on Modeling & Analysis of Mobile Networks
Hu, L., Evans, D.: Using directional antennas to prevent wormhole attacks. In: NDSS 2004, San Diego, CA (February 2004)
Zeng, Y., Cao, J., Hong, J., Zhangt, S., Xie, L.: SecMCL: A Secure Monte Carlo Localization Algorithm for Mobile Sensor Networks. In: Mobile Adhoc and Sensor Systems, MASS 2009 (2009)
Papadimitratos, P., Poturalski, M., Schaller, P., Lafourcade, P., Basin, D., Capkun, S., Hubaux, J.-P.: Secure Neighborhood Discovery: A Fundamental Element for Mobile Ad Hoc Networking, Security in Mobile AdHoc and Sensor Networks. IEEE Communications Magazine
Borg, I., Groenen, P.: Modern Multidimensional Scaling. Series in Statistics. Springer (1997)
Sommer, P., Wattenhofer, R.: Gradient clock synchronization in wireless sensor networks. In: Proceedings of the 2009 International Conference on Information Processing in Sensor Networks. IEEE Computer Society (2009)
He, T., Huang, C., Blum, B.M., Stankovic, J.A., Abdelzaher, T.: Range-free localization schemes for large scale sensor networks. In: Proceedings of the 9th Annual International Conference on Mobile Computing and Networking, pp. 81–95. ACM (2003)
Nagpal, R., Shrobe, H., Bachrach, J.: Organizing a global coordinate system from local information on an ad hoc sensor network. In: Zhao, F., Guibas, L.J. (eds.) IPSN 2003. LNCS, vol. 2634, pp. 333–348. Springer, Heidelberg (2003)
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Pareek, G., Kumari, R., Nagaraju, A. (2015). Mobile Sensor Localization Under Wormhole Attacks: An Analysis. In: Buyya, R., Thampi, S. (eds) Intelligent Distributed Computing. Advances in Intelligent Systems and Computing, vol 321. Springer, Cham. https://doi.org/10.1007/978-3-319-11227-5_12
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DOI: https://doi.org/10.1007/978-3-319-11227-5_12
Publisher Name: Springer, Cham
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