Design and Implementation of Wireless Network Security Intelligent Experimental Teaching Platform Based on Text Similarity Calculation This paper analyses the current domestic research status and development trend of wireless network security experimental teaching platform. Concerning the problems of resource deployment and heavy task of experimental report marking, a new design scheme of wireless network security intelligent experimental teaching platform is proposed. On the basis of the traditional experimental platform, this platform adds the experimental process monitoring and experimental report automatically marking function. The platform uses text similarity computing technology to realize automatic marking of experiment report. The experimental results show that the method proposed in this paper can effectively carry out the automatic marking of wireless network security experiment reports, and the accuracy rate of the marking is over 91%. This paper can provide important reference value for the design of similar experimental teaching platform and the further research on automatic marking of experimental reports.

Research and application of security video labeling platform With the rapid development of science and technology, the intelligent security technology has developed rapidly. As far as the deep learning method used in the field of intelligent security is concerned, image marking is a heavy and complicated work. The current security video is usually manually completed, which increases the operation and maintenance cost of security video system. For this reason, this paper proposes a semiautomatic annotation method based on neighborhood rough set for the complexity of distorted image annotation. The division of theoretical domain and the definition of correlation degree are redone. The aim is to start with the manual annotation of the data source, improve the quality of the annotation, and solve the difficulty of the annotation caused by the standard deviation of the subjective evaluation of the annotator and the blurring of the boundary between the annotated words. The application example shows that the security video labeling platform can realize semiautomatic video labeling and significantly improve the accuracy rate of security video labeling.