Providing Secret Authentication in Clustered Security Architecture for Cloud-Based WBAN

Abstract In inter-WBAN communication, there is more possibility of the physical attacks that includes the node capture, tampering, pre-deployment network topology and so on. In order to overcome these issues, in this paper, we propose a secret authentication in clustered security architecture for Cloud-based WBAN. When the nodes are deployed in the network, the cluster heads are elected based on the residual energy and node distance. Then a Wavelet-Domain Hidden Markov Model is deployed to perform the communication in a secure manner. A selective encryption mechanism is then used to protect data confidentiality by using biomedical information as a key. Further, the security is enhanced by concealing the features of sensors by generating a coffer, a computationally efficient protocol. By simulation results, we show that the proposed technique enhances the security and reduces the overhead.