MetaCartSign in to MyCiteSeer

Include Citations | Advanced Search | Help

Include Citations | Advanced Search | Help

  Group Rekeying for Filtering False Data in Sensor Networks: A Predistribution and Local Collaboration-Based Approach

Download:
Download as a PDF
unknown authors
http://mcn.cse.psu.edu/paper/zhang/infocom05.pdf
Add To MetaCart

Abstract:

Abstract — When a sensor network is deployed in hostile environments, the adversary may compromise some sensor nodes, and use the compromised nodes to inject false sensing reports or modify the reports sent by other nodes. In order to defend against the attacks with low cost, researchers have proposed symmetric group key-based en-route filtering schemes, such as SEF [1] and I-LHAP [2]. However, if the adversary has compromised a large number of nodes, many group keys can be captured, and the filtering schemes may become ineffective or even useless. To deal with node compromise, the compromised nodes should be identified and the innocent nodes should update their group keys. Some existing intruder identification schemes can be used to identify the compromised nodes, but most existing group rekeying schemes are not suitable for sensor networks since they have large overhead and are not scalable. To address the problem, we propose a family of predistribution and local collaboration-based group rekeying (PCGR) schemes. These schemes are designed based on the ideas that future group keys can be preloaded to the sensor nodes before deployment, and neighbors can collaborate to protect and appropriately use the preloaded keys. Extensive analyses and simulations are conducted to evaluate the proposed schemes, and the results show that the proposed schemes can achieve a good level of security, outperform most previous group rekeying schemes, and significantly improve the effectiveness of filtering false data. Index Terms: System design, simulations, sensor networks, security, group rekeying. I.

Citations

190 Packet leashes: A defense against wormhole attacks in wireless networks – Hu, Perrig, et al. - 2003
41 An Interleaved Hop-by-Hop Authentication Scheme for Filtering of Injected False Data – Zhu, Setia, et al.
27 A.Perrig. Security and privacy in sensor networks – Chan - 2003
12 E.Cayirci, “Wireless Sensor Networks: A Survey – Akyildiz, Su, et al. - 2002
3 Statistical En-route Filtering – Ye, Luo, et al. - 2004