TITLE:
Implementation of an Efficient Light Weight Security Algorithm for Energy-Constrained Wireless Sensor Nodes
AUTHORS:
A. Saravanaselvan, B. Paramasivan
KEYWORDS:
In-Network Data Aggregation, Security Attacks, Vernam Cipher Cryptographic Technique, Huffman Source Coding, Entropy
JOURNAL NAME:
Circuits and Systems,
Vol.7 No.9,
July
18,
2016
ABSTRACT: In-network data aggregation is severely affected due to information in transmits attack. This is an important problem since wireless sensor networks (WSN) are highly vulnerable to node compromises due to this attack. As a result, large error in the aggregate computed at the base station due to false sub aggregate values contributed by compromised nodes. When falsified event messages forwarded through intermediate nodes lead to wastage of their limited energy too. Since wireless sensor nodes are battery operated, it has low computational power and energy. In view of this, the algorithms designed for wireless sensor nodes should be such that, they extend the lifetime, use less computation and enhance security so as to enhance the network life time. This article presents Vernam Cipher cryptographic technique based data compression algorithm using huff man source coding scheme in order to enhance security and lifetime of the energy constrained wireless sensor nodes. In addition, this scheme is evaluated by using different processor based sensor node implementations and the results are compared against to other existing schemes. In particular, we present a secure light weight algorithm for the wireless sensor nodes which are consuming less energy for its operation. Using this, the entropy improvement is achieved to a greater extend.