Steganalysis method based on sequential hypothesis testing, terminal device and storage medium

Abstract

The invention relates to a steganalysis method based on sequential hypothesis testing, a terminal device and a storage medium. The steganalysis method comprises the following steps: constructing a steganalysis sample library; constructing a plurality of prediction models, training the models to obtain a final prediction model, and evaluating the prediction degree of each model according to attributes corresponding to the samples; setting a weight corresponding to each final prediction model corresponding to different attribute samples; performing parameter estimation and fitting on the plurality of different types of probability distribution models through a result set output by the model to obtain a negative probability distribution model and a positive probability distribution model withthe highest fitting degree; and converting the to-be-predicted sample into a sequential sample, updating the sequential probability ratio of the prediction result of each block according to the finalprediction model, calculating the final sequential probability ratio in combination with the weight, and further judging whether the sample is a steganography sample or not. The method is used for reducing the number of samples and improving the efficiency on the premise of ensuring robustness and accuracy so as to meet the requirement of real-time online steganalysis.

Description

technical field [0001] The invention relates to the field of steganalysis, in particular to a steganalysis method based on sequential hypothesis testing, a terminal device and a storage medium. Background technique [0002] Steganography is an information hiding technique. It achieves the purpose of hiding information by embedding information in the data redundancy of the carrier. With the development of modern computer science and technology, the expression precision of multimedia data far exceeds the range that human senses can detect. People can use the redundancy of multimedia data to embed some hidden data, and use the objective fact that human senses are difficult to detect and embedded behavior cannot be found to realize hidden information. Steganography can be used for secret communication and can effectively protect the confidential information of individuals, enterprises and governments. The carrier used to embed information is called the original text, and the ...

AI Technical Summary

Problems solved by technology

However, this method does not have a complete mathematical theory support, the sampling method is not flexible enough, multiple sampling is required, and the sampling results are selected according to the best, which wastes computing resources and is not conducive to batch and online steganalysis.

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