Visual Image Perception Preservation through a Compression-Encryption Framework

Tracking of 1D and 2D characteristics of a monitored environment can be tracked using Wireless Sensor Networks (WSN). Millions of photos that have confidential shots are sent every day across the network and they are required to be transferred safely; accordingly, security of this information over untrusted networks is a difficult task. Compressive sensing (CS) has evolved into a prominent signal-processing technology since it allows for simultaneous sampling and compression processes. Secure CS has received considerable amount of interest in the world of information security since it may be viewed as a cryptosystem capable of parallel sampling, compression, and encryption while keeping the pseudo random generating measurement matrix key hidden. This paper presents privacy-preserving and efficient key agreement architecture for image exchange systems. The introduced architecture employs DNA encoding, chaotic mapping and a simple image XOR function with a random generator key vector. It characterized by its rapidness and security against a variety of security threats, and also it enables secure communication in smart monitoring systems. Finally, the suggested algorithm is evaluated based on Numerical simulations and its performance is compared to current ones. The security analysis results show that the suggested model meets the security requirements and can withstand various security threats.