Reputation based Incentive Scheme for Secured Data Privacy in Wireless Body Area Network Communication

Secure communication over wireless body area network (WBAN) is significant issue because it lacks security and privacy level of data while performing transmission. To improve the security and privacy of wireless body area network communication, Repute Derivative Incentive and Sparse Sampled Data Aggregation (RDI-SSDA) scheme is proposed. The RDI-SSDA initially used Repute Derivation Based Incentives scheme to identify the trustworthy users in network over a period of time using second order derivative for secured data communication and improving the throughput. Next, RDI-SSDA scheme used Preferential Sparse Sampled Data Aggregation for collecting sensed data of sensor nodes in WBAN. The Preferential Sparse Sampled Data Aggregation considers a tolerance delay factor that refers the maximum delay a packet can support before its delivery. With this tolerance delay factor, the RDI-SSDA scheme selects data packets with minimum tolerance delay for aggregating the data at aggregators and therefore improves the data aggregation efficiency. Finally, compressed sensing is performed for each aggregated data through sensing matrix in which encryption and decryption is performed to improve the privacy of data transmission in WBAN. The RDI-SSDA scheme conducts the experimental works on parameters such as data privacy level, throughput and data aggregation efficiency. The experimental results show that the RDI-SSDA scheme is able to improve the privacy level of data and data aggregation efficiency when compared to state-of-the-art works. 2096 Ms. I.Shanmugapriya and Dr. K.Karthikeyan