Abstract
With the rapid development of information technology in today’s society, the security of transmission and the storage capacity of hardware are increasingly required in the process of image transmission. Compressed sensing technology can achieve data sampling and compression at the rate far lower than that of the Nyquist sampling theorem and can effectively improve the efficiency of information transmission. Aiming at the problem of weak security of compressed sensing, this study combines the cryptographic characteristics of chaotic systems with compressed sensing technology. In the actual research process, the existing image encryption technology needs to be applied to the hardware. This paper focuses on the combination of image encryption based on compressed sensing and digital logic circuits. We propose a novel technology of parallel image encryption based on a sequence generator. It uses a three-dimensional chaotic map with multiple stability to generate a measurement matrix. This study also analyzes the effectiveness, reliability, and security of the parallel encryption algorithm for source noise pollution with different distribution characteristics. Simulation results show that parallel encryption technology can effectively improve the efficiency of information transmission and greatly enhance its security through key space expansion.
Highlights
Nowadays, the rapid evolution of information technology and data networks has brought great convenience to people’s productivity and lives [1]
As an important information carrier in digital information, the digital image is widely used in national defense, education, medical treatment, finance, and other fields [3]
In the traditional process of information transmission and encryption, the Nyquist sampling theorem is applied, which indicates that the sampling frequency must be more than twice the highest frequency when sampling a signal with limited bandwidth in order to ensure the complete recovery of the original signal from the sampling value [5]
Summary
The rapid evolution of information technology and data networks has brought great convenience to people’s productivity and lives [1]. To improve the computational efficiency of compressed sensing and the security of image encryption, a parallel image encryption technique based on a sequence signal generator was proposed. In order to improve the efficiency of encryption and transmission, this study designs a block and parallel compressed sensing encryption algorithm. We study this problem in detail and introduce a logic circuit-based compressed sensing encryption method in [36]. In the process of designing the measurement matrix, this algorithm is based on the sensitivity and pseudorandom performance of chaotic signals to initial values, as well as the cryptographic characteristics of chaos under the mechanism of diffusion and scrambling. The binary sequence signal of the length is generated through the sequence signal generator, and the binary sequence signal is taken as the “modulation signal.” Based on chaotic system’s sensitivity to the “tiny disturbance” of the initial conditions, for chaotic systems, the initial value of any small changes can directly affect the entire
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