SDACQ: Secure Data Aggregation for Coexisting Queries in Wireless Sensor Networks

Wireless Sensor Network consists of sensor nodes that are constrained in energy and other resources and is vulnerable to security attacks since the inherent nature of communication is broadcast. In order to reduce the energy consumption it is necessary to optimize the number of packets transmitted. In addition the data has to be encrypted to withstand security attacks. We propose Secure Data Aggregation for Coexisting Queries (SDACQ) in Wireless Sensor Networks that allows parallel coexisting aggregate queries from the sink to be disseminated in an authenticated manner and aggregate the data belonging to coexisting queries into a single packet. The cluster heads aggregate the encrypted data from sensor nodes using additively homomorphic encryption. Thus SDACQ provides secure data aggregation by combining authenticated query propagation with homomorphic encryption at low energy consumption. Simulation results shows that SDACQ provides better performance than other state of the art algorithms

Self-management and Optimization Framework. OpenIoT Deliverable D512

This deliverable describes the OpenIoT self-management and optimization framework, in terms of algorithms and mechanisms that it comprises as well as in terms of their implementation over the OpenIoT platform and associated cloud infrastructure. As a first step the main operations and functionalities of the OpenIoT self-management and optimization infrastructure are described and related to the structure of management operations defined in state-of-the-art frameworks for autonomic computing and self-management. Along with a brief description of the optimization techniques that are employed in OpenIoT, an initial mapping of the various techniques on the OpenIoT architecture is performed