A code element rewriting information hiding detection method and system based on Bayesian reasoning

Abstract

The invention discloses a code element rewriting information hiding detection method based on Bayesian reasoning. The method includes: step 1) selecting steganographic sensitive code elements according to the value distribution entropy of compressed speech code elements in the training samples, thereby Build code element strong association network; Build code element Bayesian network classifier based on code element strong association network, and use Dirichlet distribution as the parameter of prior distribution learning code element Bayesian network classifier; Step 2) according to code element Bayesian network classifier Steganographic Index Threshold Calculation by Yeesian Network Classifier and Training Samples J thr ; Step 3) for a section of unknown type of compressed speech, calculate its steganographic index J 0 , if J 0 ≥ J thr , it is determined that the speech segment is a non-steganographic speech segment; if J 0 <J thr , it is determined that the speech segment is a steganographic speech segment. The method of the invention can obtain more accurate steganography detection results; moreover, the method of the invention takes code elements in code streams as analysis objects without decoding, and can achieve the effect of real-time steganography detection.

Description

technical field [0001] The invention relates to the technical fields of information security and machine learning, in particular to a code element rewriting information hiding detection method and system based on Bayesian reasoning. Background technique [0002] With the continuous increase of bandwidth and the enhancement of network convergence trend, the network streaming media service based on network data communication has achieved unprecedented development, and network compressed voice stream has become one of the commonly used carriers for covert communication. While it brings convenience to people's life and work, it also brings opportunities for criminals. For sensitive institutions, it is necessary to evaluate and review the voice code stream in the institution to determine whether there is a covert communication channel for leakage of secret information. Information hiding detection technology, as a countermeasure against covert communication, can effectively moni...

AI Technical Summary

Problems solved by technology

In the actual application process, it is difficult to obtain the information hiding method used in compressed speech. Therefore, it is necessary to study a general code element rewriting information hiding detection method

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