Biblio

Wireless Sensor Networks (WSNs) are applied in environmental monitoring, military surveillance, etc., whereas these applications focuses on providing security for sensed data and the nodes are available for a long time. Hence, we propose DEAVD protocol for secure data exchange with limited usage of energy. The DEAVD protocol compresses data to reduces the energy consumption and implements an energy efficient encryption and decryption technique using voronoi diagram paradigm. Thus, there is an improvement in the proposed protocol with respect to security due to the concept adapted during data encryption and aggregation.

Outsourcing spatial databases to the cloud provides an economical and flexible way for data owners to deliver spatial data to users of location-based services. However, in the database outsourcing paradigm, the third-party service provider is not always trustworthy, therefore, ensuring spatial query integrity is critical. In this paper, we propose an efficient road network k-nearest-neighbor query verification technique which utilizes the network Voronoi diagram and neighbors to prove the integrity of query results. Unlike previous work that verifies k-nearest-neighbor results in the Euclidean space, our approach needs to verify both the distances and the shortest paths from the query point to its kNN results on the road network. We evaluate our approach on real-world road networks together with both real and synthetic points of interest datasets. Our experiments run on Google Android mobile devices which communicate with the service provider through wireless connections. The experiment results show that our approach leads to compact verification objects (VO) and the verification algorithm on mobile devices is efficient, especially for queries with low selectivity.