A framework of location privacy and minimum average communication under the global eaves dropper
S. Sivashankari, Mohamed Raseen · 2013
In wireless sensor network, the location privacy issues in sensor networks under this strong adversary model and computes a lower bound on the communication overhead needed for achieving a given level of location privacy. It uses two techniques to provide location privacy to monitored objects (source-location privacy)periodic collection and source simulationand two techniques to provide location privacy to data sinks (sink-location privacy)sink simulation and backbone flooding. These techniques provide trade-offs between privacy, communication cost, and latency. Security is critical for many sensor networks. Due to the limited capabilities of sensor nodes, providing security and privacy to a sensor network is a challenging task. In this project, couple-based detection scheme to early detect the node compromise attack in the first stage is discussed. Early detection of node compromise attack can lead to a more effective defense against the node compromise attack. Through analysis and simulation, that the techniques are efficient and effective for source and sink-location privacy in sensor networks.