Research on a Dynamic Identity Security Authentication Method for Power Business

Abstract

Currently, the development of Internet and IoT applications is extremely fast, and the security of network identity is particularly important. The bad network and social influences caused by the theft and disclosure of network identity have seriously threatened the development of the Internet industry. For the status quo of network identity development, most of them adopt the authentication method of user name and static password. This password authentication method has serious security risks. Based on this problem, this paper proposes five safer authentication methods based on small area fingerprint, two-dimensional code and face image, data acquisition and identity sensing, network identity copy authentication and behavioral feature analysis.