SECURE AND PRIVACY PRESERVING DATA CENTRIC SENSOR NETWORKS WITH MULTI-QUERY OPTIMIZATION

Abstract

In large-scale Wireless Sensor Networks the effective use of the vast amounts of data gathered will require scalable, selforganizing, and energy-efficient data dissemination and data retrieval techniques. Data Centric Sensor (DCS) networks is a better approach in which the sensor nodes send the sensed data to a designated sensor node whose name is associated with sensed data. However, due to unattended nature of Wireless Sensor Networks, these sensor nodes are susceptible to different types of attacks. The attacker may compromise these storage nodes and get data of his interest. In this paper we propose a Secure and Privacy Preserving Data Centric Sensor Networks that includes security and privacy support to DCS networks. We use multi level key structure and cryptographic algorithms to provide security. In addition, we propose a multi-query optimization technique that aggregates similar queries for a small periodic time and construct a query message. This reduces the number of messages required to serve multiple similar queries. Simulation and experimental results show that our work provides a secure privacy preserving data centric sensor network based on cryptographic keys and reduces the message overhead and incurs a minimum communication cost compared to previous works