3 results about "Artificial immune system" patented technology

This invention discloses a method for constructing immune steganographic images based on an artificial immune system, suitable for digital image information hiding. By constructing an information hiding model based on the artificial immune system, the method automatically optimizes and modifies the secret image with the goal of reducing the distance between the residuals of the carrier image and the secret image to generate an immune steganographic image, thereby effectively enhancing the security of the steganographic algorithm. The method is universal and applicable to any steganographic method that minimizes distortion. It ensures that modifying the stegoimage does not cause secret message extraction failures and does not introduce additional detectable artifacts, further improving the security performance of existing steganographic algorithms and possessing practical value.

The present application relates to a kind of self-renewal continuous learning artificial immune system turbine pump fault diagnosis method, comprising: data sample, detector and classification index are respectively corresponding with antigen, immune cell and affinity, establish the artificial immune system model with hyperrectangular body as memory cell;The vibration data of turbine pump operation is randomly divided into two groups, one group is marked as antibody for cell training, another group is not marked as antigen for test;Antibody is input into the model and is initialized, and preliminary memory cell is generated;The cell of the largest number of memory cells of one kind is defined as the super memory cell of this kind, and the parent cell of super memory cell is defined as totipotent stem cell, expand totipotent stem cell and super memory cell, obtain the model after training;Antigen is input into the model after training, and antigen is used to activate memory cell or empty cell in the artificial immune system model, realize fault type identification and the continuous learning of model.

This invention discloses a pixel cost redistribution algorithm based on an artificial immune system for digital image information hiding. Under a model minimizing additive distortion, the algorithm adjusts the pixel modification probability distribution obtained from a given cost function and constructs an immune information hiding model to dynamically optimize the adjustment method of the pixel modification probability distribution, thereby rationally redistributing the modification cost. This concentrates modified pixels in areas of the carrier image that are difficult to detect. The method is applicable to various advanced cost functions, overcomes the problem that existing heuristic adaptive steganography algorithms, which rely heavily on empirical design, struggle to achieve optimal security, and can improve the security of state-of-the-art spatial image steganography algorithms, demonstrating practical value.