Improved secure three-tier architecture for WSN using hopfield chaotic neural network with two stage encryption

Security in Wireless sensor system is a greatest test put before today's scientists. Expanding the quality of validation framework before association foundation is the correct approach to upgrade the engineering furthermore gives a much secured correspondence. This paper gives a two - stage half and half security component utilizing Adaptive encoding and Hopfield Chaotic Neural Network. In this paper an irregular pair shrewd key created is initially encoded utilizing the proposed Adaptive encoding calculation and afterward the encoded key is scrambled utilizing Hopfield Chaotic Neural Network. The proposed instrument greatly enhances the security of the key shared over the hubs. The CPU time for the proposed calculation is assessed in this paper.