Research on Data Security of Cloud Assisted Wireless Body Area Network

In recent years, with the acceleration of the aging process in China, the normalization of chronic diseases, and the increasing demand for “Internet + Healthcare” services, the combination of wireless communication technology and electronic sensor technology in the field of healthcare has attracted more and more attention. This field not only contains great commercial potential, but also has important scientific research value. In wireless body area network (WBAN) data security research, traditional encryption algorithms have problems in WBAN applicability. Its high computational complexity consumes a lot of energy and computational resources, which leads to the shortening of node life; the encryption and decryption time is long, which cannot meet the real-time requirements. Moreover, early research focused on a single security mechanism, ignoring the complex security requirements, and some of the programs are difficult to land. This paper combines biometric encryption with ECC algorithm. Utilizing the uniqueness of biometrics and the advantages of ECC algorithm for resource-constrained environments, a dual encryption mechanism is constructed, where biometric encryption is used as the initial processing, and then ECC is used as the secondary encryption, which improves security. At the same time, it reduces resource consumption, extends node life, and has good scalability and compatibility, and can be integrated with existing architecture devices.