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A Tokenized Binding Update Scheme for Next Generation Proxy IP Mobility

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Artificial Intelligence and Evolutionary Computations in Engineering Systems

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 394))

Abstract

At present, the users are apparently high for wireless networks. In proxy mobile IPv6, the mobility management among the networks is tedious for the location update of mobile node and the secrecy plays a tremendous role. Here, the messages are exchanged via a localized mobility anchor between the communicants. Consequently, the data traffic is high due to the centralized feature of local mobility anchor. Also there is a single point of failure and increase in the network cost. Therefore, the efficacy of the network is increased by distributing the functionality of local mobility anchor among the mobile access gateways present in the network. However, there are several security challenges such as denial-of-service, man-in-the-middle attack, etc. Thus, the network needs an enhancement for prevention of threat and location update of mobile node. Hence, the presented paper proposes a new tokenized binding update scheme by sharing a routing table. Here, the token of mobile node is incorporated in the routing table and shared among the mobile access gateways. In addition, the proposed scheme decreases the cost of signaling and traffic overhead by eliminating unnecessary queries for binding update and acknowledgment. The security of the scheme is validated using AVISPA—the model checker. From the security and numerical analyses, the proposed scheme shows the enhancement of security and significant reduction in the connection cost and data delivery cost when compared to the existing schemes.

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Correspondence to P. N. Anbarasi .

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Anbarasi, P.N., Mathi, S. (2016). A Tokenized Binding Update Scheme for Next Generation Proxy IP Mobility. In: Dash, S., Bhaskar, M., Panigrahi, B., Das, S. (eds) Artificial Intelligence and Evolutionary Computations in Engineering Systems. Advances in Intelligent Systems and Computing, vol 394. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2656-7_18

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  • DOI: https://doi.org/10.1007/978-81-322-2656-7_18

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  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-2654-3

  • Online ISBN: 978-81-322-2656-7

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