Design And Implementation Of Web Camera Security Threat Detection System

With the development of webcam technology,wireless cameras have been widely used.However,the development of technology is a double-edged sword.Web cameras that are installed in enterprises,hotel rooms,and other places without authorizing,pose a great threat to the national secrets,corporate secrets,and personal privacy.This se-riously threatens in social privacy and security has brought serious adverse effects to society.However,there are many difficulties in the discovery and identification of such cameras.How to detect the existence of the camera and detect the security of the camera in the local area network with high-speed traffic has not been solved by mature solutions.This thesis does the following research on this issue:·Camera detection rule research:This thesis propose a standard process for mak-ing a detection rule database,and analyze the characteristics of several types of civil-use cameras and some illegal cameras on the market to produce camera detection rules.·High-speed traffic sniffing and filtering:This section mainly designs and imple-ments the function of filtering and sniffing traffic under high-speed network conditions,and uses PF_Ring,Snort and other technologies.·High-risk authentication protocol detection:This thesis use machine learning technology to perform plaintext password detection on the camera password login au-thorization protocol,and find the camera's high-risk authentication protocol security vulnerabilities.·Camera security threat detection system:using the camera detection rule base and high-speed traffic sniffing and filtering technology,this thesis design and develop a complete Camera security threat detection system.This thesis aims to study camera security detection technology based on network traffic.The software system constructed in this study can be deployed in important local area networks to detect camera privacy issues in network environments.