Multi-factor identity authentication protocol and indoor physical exercise identity recognition in wireless sensor network

Abstract

With the development of science and technology, online classrooms are now very popular and the development is relatively mature. People can watch online courses indoors for physical exercise, which has gradually become a new way for modern people to exercise. The popularity of the Internet of Things allows every item in people’s lives to be connected to the network. One of the main components of the Internet of Things is the wireless sensor network. Wireless sensor networks can monitor the surrounding environment and can also be used in medical and household applications. In order to ensure the access security of the wireless sensor network, the user must first perform identity authentication when accessing the sensor network node, and then the user can access the real-time data in the sensor network. This method is very safe. In our research, a brand-new wireless sensor network authentication protocol is proposed. This protocol can realize security enhancement through multiple gateways when facing forward security. This protocol mainly uses some authentication methods to make users more secure in the process of sensor node authentication. The radio frequency of the sensor node will be combined with ZigBee to form a corresponding network to expand the scope of identification. At the same time, the network will also identify users. Once the identification is successful, the network will guide them. Since proposing the agreement, we have conducted many tests on the identity recognition module. After testing, we found that the module has basically achieved our expected goal and can provide good user identity recognition during indoor physical exercise. • The popularity of the Internet of Things allows every item in people’s lives to be connected to the network. • In order to ensure the access security of the wireless sensor network. • A brand-new wireless sensor network authentication protocol is proposed. • The radio frequency of the sensor node will be combined with ZigBee to form a corresponding network to expand the scope of identification.