Identity Authentication Strategy of Mobile Crowd Sensing based on CFL

In order to protect information privacy and ensure user information security, in view of the obvious centralization of the existing identity authentication technologies such as Public Key Infrastructure(PKI) and Identity-Based Encrypted(IBE), this paper proposes an efficient authentication strategy that applies Cryptography Fundamental Logics(CFL) identity authentication technology to Mobile Crowd Sensing(MCS) system, which can complete the authentication between Task Publisher, Cluster Head and Task Participant without the participation of a third-party center. Firstly, this paper introduces to use CFL technology to solve the problem of identity authentication relying on the central server; Secondly, an algorithm combined with MCS system is proposed to solve the decentralization of authentication process; Finally, the Average System Response Time and System Throughput of the three technologies are obtained through simulation experiments, analyzed and compared. The result shows that: this strategy has obvious advantages, it can faster and more secure the identity authentication.