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Authentication and Integrity of Data in Wireless Sensor Network with Mobile Sink
Author(s) -
Priyanka Kakade,
Vinod Kimbahune
Publication year - 2013
Publication title -
international journal of computer applications
Language(s) - English
Resource type - Journals
ISSN - 0975-8887
DOI - 10.5120/14472-2766
Subject(s) - computer science , sink (geography) , computer network , computer security , authentication (law) , wireless sensor network , wireless , wireless network , telecommunications , cartography , geography
The Wireless Sensor Network (WSN) is one of the core technologies to form the future networks. As WSN consisting of several sink nodes and sensor nodes, while it have many advantages, such as the compact size and the low cost, corresponding constraints on resources can result. The greatest challenge among all is that distinguishing and revoking compromised sensors. Traditional techniques are used for keys pre-distributed among the sinks and sensors for pair wise key establishment and authentication. But this is not that much effective to provide authentication and due to this reason nodes are compromised. To overcome above mentioned problem, new framework was designed. The basic work in it is that to allow a three-tier general framework, use of any pair wise key pre-distribution scheme. The scheme requires two separate polynomial pools: the mobile polynomial pool and the static polynomial pool. Keys from this pool are used to strengthened the authentication mechanism between sink and node. For enhancing this, one way chain applied on pre-distributed password. This process has low computational cost and will increase the network resilience. In this process, there is possibility of actual data compromise and sink will not get requested data. Thereby employed, message digests to achieve data integrity by applying complex math on data to ensure that this data has not been tampered with on route to its final destination. Through detailed analysis, we will show that integrity of whole framework improves and assures the accuracy and consistency of data over its entire lifecycle.

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