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Wireless sensor networks (WSNs) are susceptible to various issues such as privacy and security. To overcome these issues, our worka first validates the location privacy issues and security protection. So that introduce a novel method known as Adequate Sparse Secure and Minkowski distance based Location Privacy (ASSMLP), in this first phase concentrates on location privacy which is improved by presenting a technique known as Fake Source and Fake Sink (FSFS). In this the location of fake node is separated by Modified Pillar k means based Minkowski distance. Second phase deliberate on security and here confidentiality of message can be ensured through sparse matrix. Thus the result shows throughput, energy consumption, energy efficiency, delay and packet delivery ratio and it achieves 2%, 7%, 36%, 8% and 8% better performance than existing work. Clustering accuracy is showed by means of minimum silhouette coefficient. Since real node cannot identify with an intruder.

Adequate Sparse Secure and Minkowski Distance Based Location Privacy Approach in Wireless Sensor Network