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Improved Self-Healing Key Distribution with Revocation in Wireless Sensor Network

Authors: Ratna Dutta; Sourav Mukhopadhyay;

Improved Self-Healing Key Distribution with Revocation in Wireless Sensor Network

Abstract

In this paper, we develop and analyze a new self-healing key distribution scheme with revocation capability, scalable to very large groups in unreliable ad hoc wireless environment. The main emphasis of our proposed scheme is that it has significant improvement in terms of both storage and communication overhead compared to the previous works. The storage overhead of our self-healing key distribution with t revocation capability is O((t + 1) log q), and the communication complexity is O((t+1+j) log q), where q is a large prime and j is the current session number. In contrast to the previous schemes, we use a different and more efficient self-healing technique. On a more positive note, our scheme enables reuse of personal key of a user to next m sessions and consequently, overcomes the restriction of m sessions in setup phase, unlike previous works. Moreover, we analyze our scheme in an appropriate security framework and proved that it is unconditionally secure and achieves both forward secrecy and backward secrecy.

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
23
Average
Top 10%
Top 10%
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