A Cloud Native Zero Trust Full Process Video Image Authentication Encryption Method to Protect Video Data Security
Wei Cheng, Bing Lin, Cheng Liming · 2022
With the popularity of video data applications, malicious tampering against video information and data theft are on the rise. In the face of increasingly frequent video data security threats, research and development of effective video data protection technology has become an important development direction for network and information security strategies. Therefore, this paper investigates a cloud-native zero-trust video encryption method for protecting video data security. The uncertainty of chaotic system results can be better combined with video encryption. This paper constructs a key system with double PWLCM chaotic mapping on the cloud-native platform, based on the zero-trust principle, to encrypt video, protect video data security and achieve zero-trust security of the system. This paper first introduces the basic concepts of chaotic encryption algorithm design ideas and multi-level encryption schemes, followed by the design of video encryption schemes and finally the analysis of encryption efficiency.