Research on a controllable hybrid encryption algorithm for privacy image
Yifeng Yin, Chaofei Hu, Kunpeng Liu, Yong Gan · 2020
According to the security performance of image encryption, a hybrid image encryption algorithm is proposed. The algorithm can use different chaotic systems and pseudorandom generators to scramble and spread according to the needs of human control. The security of the algorithm is improved by dividing the plaintext into equal length sequence segments and encrypting them into inverse operations. Through the analysis of the sensitivity of the algorithm, the ability to resist differential attack and the encryption rate of the algorithm, it shows that the algorithm is safe and reliable.