Information detection method based on optimal grouping variance and receiving equipment

Abstract

Embodiments of the invention disclose an information detection method based on optimal grouping. The method comprises the following steps of receiving first carrier information after channel matching;performing correlation processing on the first carrier information to obtain second carrier information, original carrier information and third carrier information in sequence; comparing the second carrier information with the original carrier information and determining a first position with the most wrong digits of the original carrier information relative to the second carrier information according to a modulation order; extracting a first numerical value on the first position of the first carrier information and a second numerical value on the first position of the third carrier information, and determining a first standard deviation of a difference value between the first numerical value and the second numerical value; judging whether the first standard deviation is larger than a preset threshold value or not; and if yes, judging that hidden information exists in the first carrier information. According to the embodiments of the invention, the secret information can be accuratelydetected.

Description

technical field [0001] The present invention relates to the field of communication technology, in particular to an information detection method, device and receiving device based on optimized grouping. Background technique [0002] Substitution steganography means that the original information is embedded with secret information after channel coding, and the secret information is directly replaced by the original part of the information to achieve the purpose of information hiding. [0003] At present, in the steganalysis technology, the chi-square detection method is the earliest detection algorithm in terms of the detection of the least significant bit (Least Significant Bit, LSB) steganography, which tests the existence of such an image by defining a chi-square statistic Probability of statistical properties, enabling detection of sequential LSB substitutions, but unable to detect LSB substitutions at random locations. The detection algorithm for LSB matching basically a...

AI Technical Summary

Problems solved by technology

[0003] At present, in the steganalysis technology, the chi-square detection method is the earliest detection algorithm in terms of the detection of the least significant bit (Least Significant Bit, LSB) steganography, which tests the existence of such an image by defining a chi-square statistic Probability of statistical properties, enabling detection of sequential LSB substitutions, but unable to detect LSB substitutions at random positions

The detection algorithm for LSB matching basically adopts neural network, pattern recognition and other methods to train the feature set to extract effective features, and then realize the detection of hidden information through the joint judgment of multiple features, but these methods are computationally intensive and Test results are imprecise and have limitations

Images