Efficient fuzzy vault application in node recognition for securing body sensor networks

Abstract

Wireless Body Sensor Network (BSN) is being developed with a continuously rising demand for personalized healthcare. Due to the importance of privacy and safety, the medical data transmitted in wireless BSN have to be strictly secured. Physiological Signals based Secret Sharing scheme (PSSS) aiming to automatically deploy identical secrets among nodes of BSN is considered as an important add-on security mechanism in BSN. By utilizing biometric characteristics of Physiological Signal, PSSS can be efficient and reliable, as well as free of third-party authentication and pre-distribution. In this paper, taking full advantage of randomness and similarity of physiological signals, an efficient fuzzy vault based scheme is proposed and demonstrated. Frequency-domain based Entity Identifier (EI) generation and Euclidean distance based Fuzzy Vault scheme are detailed. Results of simulation analysis show that the proposed scheme has potential applications in securing intra-network communications in body sensor networks.