A New Asymmetrical Encryption Algorithm Based on Semitensor Compressed Sensing in WBANs

Abstract

Wireless body area networks (WBANs) are applied to monitor patients remotely. The sensors in WBANs have the characteristics of limited computing and less memory, while requiring real-time and security communications between sensors. In order to deal with the above problems, this article proposes a new asymmetric cryptographic algorithm (Diffie–Hellman–Hash-compression, abbreviated as DHS-C), which is based on the matrix decomposition. The asymmetric cryptographic algorithm can effectively solve the robustness problem in WBANs. The implementation of semitensor-compressed sensing can encrypt multiple signals with different dimensions and reduce the amount of transmission. In addition, the hash function, Arnold scrambling, and chaotic scrambling are applied to improve the security of our algorithm. A series of simulation and security analysis, including key space, pixel distribution of the encrypted image, adjacent pixel correlation, required storage space, compression ratio, peak-signal-to-noise ratio, and so on, are given to show the better performance of our proposed scheme.