Statistic supervision and structure supervision based hidden messages analysis system

Abstract

The invention relates to a hidden-writing analyze system, based on statistic detection and structural detection, wherein the core detecting module of system is integrated with six statistic detecting modules and two structure detecting modules, to user hidden-writing technique as LSB, BPCS and structure hidden-writing techniques of spatial region to detect the reliability of hidden encrypted document which uses common video and voice as carrier, as MBP image, JPEG image and WAVE voice. The invention combines the detecting results of several detecting modules to judge, with better adaptability on present hidden-writing method, to reduce average detecting rate and high false alarm rate, to detect variable carrier types and variable hidden-writing methods at high quality and high efficiency. And the invention has better expandable property, to integrate new detecting module to upgrade the detecting property of system.

Description

technical field [0001] The invention relates to the field of information hiding detection. Specifically, the invention proposes a steganalysis system based on statistical detection and structure detection. Common steganography techniques mainly include spatial domain LSB steganography, frequency domain steganography, BPCS steganography and structural steganography. The invention is aimed at the detection of space domain LSB steganography, BPCS steganography and structural steganography. Background technique [0002] Since 2002, the development of popular steganography software represented by camera shy (half-covered face) has sprung up, constantly updated and expanded, and other similar products designed based on information hiding technology have also appeared rapidly. Steganography and cryptography are equally important in the field of information security. Steganography is like a double-edged sword. If we do not conduct in-depth research on both positive and negative asp...

AI Technical Summary

Problems solved by technology

[0008] 1) Steganography is only used by a few important sensitive users

[0009] 2) The multimedia formats on the Internet are diversified, and most of the detection algorithms studied at home and abroad are mainly general statistical attacks. Although these algorithms have strong applicability, the detection accuracy is not practical

[0010] 3) The research on the detection of steganographic tools currently mainly stays in the analysis of open source steganographic software or software released by some teaching institutions and individual enthusiasts. However, there are almost no users who actually use these software to transmit secret information. For many popular steganographic software Due to the difficulty of analysis, few people can come up with accurate detection methods, but they may be secret communication tools frequently used by users

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