An image encryption method based on DNA encoding and chaos belongs to the field of information encryption. The increasing rise of divulgence of confidential information of image product content, the improvement of computing power, the enhancement of hacker attack ability, and the convenient duplication and propagation of digital images bring new challenges to the security of digital images. Most of the present image encryption methods which have low security or low efficiency are far from satisfactory. According to the method, scrambling and diffusing are performed in the DNA encoding domain of an interactive image, and XOR operation is performed in the pixel domain, in order to hide the information of the interactive image and to protect the image content. The innovational content of theinvention is that a hybrid operation based on DNA encoding is designed according to the features of digital images, and a novel image encryption method is designed based on the hybrid operation. Experimental results show that the method has high security and a good encryption effect, and can guarantee the safe and reliable transmission of an image under a network platform.

Image encryption method based on DNA encoding and chaos

The invention discloses a security coding method and system for artificial intelligence image attack identification. The method comprises steps that image numerical scanning of a collected target facepicture is carried out by a monitor end, the scanned information is converted through the security coding method into a security coding graph, and the security coding graph is encrypted and is then sent to a server end; the security coding graph is converted by the server end into a pixel value sequence, a target graph is obtained according to the pixel value sequence, and the real data information of the target graph is returned or displayed according to the application scope. The method is advantaged in that through intelligent face identification, artificial intelligence graph identification confusion attacks can be avoided, authenticity of image targets is rapidly determined, effective defense against image transmission attacks is carried out, and face identification security is improved.

Security coding method and system for artificial intelligence image attack identification

The invention provides an image encryption method based on the Hash function and an inserting-deleting model and relates to the field of image encryption. The Hash function and an inserting-deleting model of DNA computing are introduced to an image encryption processing. First, operating pixel values by use of the Hash function to obtain a Hash table; scrambling the pixel values according to the Hash table and then performing DNA coding to a scrambled matrix; in addition, the method makes full use of the advantages of the inserting-deleting model; the inserting-deleting model is applied in spreading the pixel values of the image. Simulation results and security analysis show that the method not only has large cipher code space and high sensitivity, but also can resist exhaustive attacks, statistical attacks, and differential attacks, etc., and has good encryption effect. The method is stressed on applying the Hash function and the inserting-deleting model in image encryption.

Image encryption method based on Hash function and inserting-deleting model

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Image encryption method based on Hash function and inserting-deleting model