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Ad Hoc Networks. First International Conference, ADHOCNETS 2009, Niagara Falls, Ontario, Canada, September 22-25, 2009. Revised Selected Papers

Research Article

Computationally Efficient Mutual Entity Authentication in Wireless Sensor Networks

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  • @INPROCEEDINGS{10.1007/978-3-642-11723-7_13,
        author={Zhijun Li and Guang Gong},
        title={Computationally Efficient Mutual Entity Authentication in Wireless Sensor Networks},
        proceedings={Ad Hoc Networks. First International Conference, ADHOCNETS 2009, Niagara Falls, Ontario, Canada, September 22-25, 2009. Revised Selected Papers},
        proceedings_a={ADHOCNETS},
        year={2012},
        month={7},
        keywords={mutual entity authentication computationally efficient learning parity with noise wireless sensor networks HB protocol HB-hybrid},
        doi={10.1007/978-3-642-11723-7_13}
    }
    
  • Zhijun Li
    Guang Gong
    Year: 2012
    Computationally Efficient Mutual Entity Authentication in Wireless Sensor Networks
    ADHOCNETS
    Springer
    DOI: 10.1007/978-3-642-11723-7_13
Zhijun Li1,*, Guang Gong1,*
  • 1: University of Waterloo
*Contact email: leezj@engmail.uwaterloo.ca, ggong@calliope.uwaterloo.ca

Abstract

Mutual entity authentication plays an important role in securing wireless sensor networks. In this paper, we present a computationally efficient authentication framework, based on learning parity with noise problem. The authentication only requires the simplest bit-operations, which makes it suitable for resource-restrained wireless sensor networks. The framework not only presents an approach to securely combine two one-way authentication protocols from the HB-family, but also provides significant enhancements in terms of feasibility of storage/communication requirement. It spawns three specific protocols with different trade-offs between communication overload and memory cost. We extensively analyze their performance and security properties. Furthermore, their applications in different wireless sensor network scenarios are discussed in detail.

Keywords
mutual entity authentication computationally efficient learning parity with noise wireless sensor networks HB protocol HB-hybrid
Published
2012-07-05
http://dx.doi.org/10.1007/978-3-642-11723-7_13
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