This paper investigated the issue of covert network attacks on video surveillance systems in light of their networking and intelligent development,which brought about new risks.The primary objective of this research was to explore numerous cases of covert network attacks and summarize the specific characteristics of such attacks targeting video surveillance systems.Additionally,this paper examined the unique advantages of honeypot technology in detecting network attack behaviors and identifying attack clues,and outlined the honeypot defense methods against covert attacks on video surveillance systems.Fur-thermore,considering the shortcomings in the visual scene deployment of video surveillance honeypots,this paper introduced a deep scene fabrication defense framework that combined generative AI models with video surveillance honeypots.Finally,it proposed the development direction of honeypot defense technology for video surveillance systems.
关键词
监控视频系统/信息安全/蜜罐/隐蔽式攻击/生成式AI
Key words
video surveillance system/information security/honeypot/covert attacks/generative AI
维普
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