Airspace image steganalysis method based on full dense connection network

Abstract

The invention provides an airspace image steganalysis method based on a full dense connection network. The method comprises the following steps of building the full dense connection network includinga plurality of dense connection blocks, wherein each dense connection block comprises a plurality of groups of convolution layers and one average pooling layer, the adjacent dense connection blocks are connected, and the network width of the dense connection blocks are increased in a way of being the multiples of 2 in a sequence from lower layers to high layers; obtaining an original feature graphof the airspace image to be recognized through convolution operation; inputting the original feature graph into the full dense connection network; performing multilayer convolution and pooling operation on the original feature graph to obtain a multi-dimensional feature vector; performing dimension reduction on the multi-dimensional feature vector into a two-dimensional feature vector through thefull connection layer; and inputting the two-dimensional feature vector into a softmax activation function to obtain a prediction probability value for predicting whether the airspace image is a steganalysis image or an ordinary image. The airspace image steganalysis method can accelerate the wider image feature reuse; the signal propagation of steganalysis weak signals in the network is reinforced; and the steganalysis analysis detection performance is improved.

Description

technical field [0001] The invention relates to the technical field of digital image information hiding and analysis, in particular to an image steganalysis method in space based on a fully dense connection network. Background technique [0002] The development of network information technology has made digital media an important carrier of information transmission for political, military, commercial and other institutions and individuals. At the same time, digital communications on the Internet are vulnerable to malicious interference, illegal eavesdropping and other activities. Encryption technology is the main means of information security protection, but the disadvantage of encryption is that the encrypted ciphertext is garbled, which is easy to attract the attention of attackers, resulting in communication interference or interception. In this context, information security not only means ensuring the content security of information during the transmission of informatio...

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Problems solved by technology

[0006] The disadvantages of the above-mentioned steganalysis methods in the prior art include: the steganalysis relying on artificially designed features has strong experience requirements for steganalyzers, and the adjustment of feature parameters requires a lot of time and effort

Although steganalysis based on artificially designed features has made great progress, due to the continuous development and progress of steganalysis research and the difficulties of steganalysis itself, steganalysis is facing severe challenges, especially the content that has emerged in recent years. Advanced steganographic algorithms such as adaptive steganographic algorithms can maintain more complex statistical properties such as neighborhood correlation, making steganalyzers have to consider more complex image statistical properties in order to perform effective detection

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