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Steganalysis method based on adversarial net

A neural network and steganalysis technology, applied in the field of information security, can solve the problems of large fluctuations in detection accuracy and poor universality, and achieve the effect of improving accuracy and universality

Active Publication Date: 2017-07-04
GUANGZHOU UNIVERSITY
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Problems solved by technology

[0006] The purpose of the present invention is to provide a steganalysis method based on adversarial neural networks with high precision and more universality, aiming at the shortcomings of poor universality and large fluctuations in detection accuracy in traditional steganalysis methods

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  • Steganalysis method based on adversarial net

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Embodiment Construction

[0027] In order to facilitate the understanding of those skilled in the art, the present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0028] see figure 1 , the steganalysis method based on the adversarial neural network proposed in this embodiment mainly includes the following steps L1 to L3:

[0029] L1. Perform data processing on the image data uploaded by the user, and extract the features of the steganographic data to be identified.

[0030] L2. Apply the pre-trained steganographic pattern generator against the neural network to generate steganographic data features.

[0031] L3. Input the features of the steganographic data to be discriminated and the generated steganographic data features into the discriminator of the pre-trained adversarial neural network for feature comparison, and identify the steganographic pattern category of the image data uploaded by the user according to the similarity of the comparis...

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Abstract

The invention relates to a steganalysis method based on adversarial net. The method includes the following steps: A1. processing data in image data that is uploaded by a user, extracting to-be-determined steganalysis characteristics; A2. using a steganalysis mode generator of the adversarial net that is trained in advance to generate steganalysis data characteristics; A3. inputting the to-be-determined steganalysis characteristics and the generated steganalysis data characteristics to a determining machine of the adversarial net which is trained in advance, and comparing characteristics, on the basis of similarity from the comparison, identifying the type of the steganalysis mode of the image data that is uploaded. According to the invention, the method combines the adversarial net and the steganalysis, applies expandability, trainability, robustness and non-linear mapping capability of the adversarial net, and increases the precision and universality of steganalysis.

Description

technical field [0001] The invention belongs to the technical field of information security, and in particular relates to a steganalysis method based on an adversarial neural network. Background technique [0002] With the rise of mobile steganographic software, users can use many mobile steganographic software for real-time steganographic communication anytime and anywhere, such as ImghidAndReveal, MySecret, StegDroid under Android platform, SpyPix, StegoSec, InvisiLetter in IOS, etc. Steganographic communication has the characteristics of wide application, fast and strong concealment, which poses a great threat to network security. [0003] Steganalysis is a reverse analysis method against steganography. Its purpose is to judge the existence of steganographic information. The key is to obtain the characteristic quantity that can reflect the change of data before and after steganography. [0004] The general blind analysis method in the steganalysis method regards steganog...

Claims

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Application Information

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IPC IPC(8): G06T1/00
CPCG06T1/0021
Inventor 綦科林升
Owner GUANGZHOU UNIVERSITY
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