An Improved Steganographic Method for Optimizing Decision Surfaces

A technology of decision-making surface and intelligent optimization algorithm, which is applied in the field of information security

Inactive Publication Date: 2018-05-29
欧阳春娟
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0005] The purpose of the present invention is to provide an improved steganographic method for optimizing the decision-making surface, thereby solving the aforementioned problems in the prior art

Method used

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  • An Improved Steganographic Method for Optimizing Decision Surfaces
  • An Improved Steganographic Method for Optimizing Decision Surfaces
  • An Improved Steganographic Method for Optimizing Decision Surfaces

Examples

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experiment example

[0098] (1) Experimental method

[0099] In this experiment example, the binary discrete hybrid leapfrog algorithm is used to optimize LSB±k steganography, and the SFLA-LSB±k steganography algorithm is obtained. The specific implementation steps are as follows:

[0100] Step1: Steganography is performed on the image according to LSB±k to obtain the secret image set S 1 , extract the secret image features, and get the first decision surface D after training the classifier 1 .

[0101] Step2: Take the first decision surface D 1 As a guide, the binary discrete hybrid leapfrog algorithm is used to optimize the ±k sequence in LSB±k, so that the characteristics of the carrier image and the secret image are on the decision surface D 1 Indistinguishable, and get a new secret image set S 2 .

[0102] Step3: By analogy, the decision surface D obtained by j-1 times j-1 In order to optimize the target, the training image set and the obtained series of secret image sets S 1 ,S 2 …S ...

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Abstract

The invention, which relates to the technical field of information security, discloses an improved steganography method for optimizing a decision surface. According to the improved steganography method, a classifier is optimized by using an intelligent optimization means; and projections of features of a carrier image and a secret image on the decision surface are at the same direction to resist the classifier, wherein the projections of different features on the decision surface are in a one-dimensional mode. With the dimension reduction means, a problem of high-dimensional feature optimization is solved effectively. Therefore, the secret image feature distribution changes randomly and thus the classifier can not carry out classification on the steganography carrier and the secret image, thereby achieving an objective of steganography security improvement. According to the improved steganography method provided by the embodiment of the invention, the intelligent means include a hybrid eapfrog algorithm, a particle swarm optimization method, and a genetic optimization method and the like; and thus the LSB+ / -k steganography performance can be improved and other steganography methods also can be improved effectively. For the novel steganography analysis algorithm, the analysis can be resisted by optimizing the projection of the corresponding feature on the decision surface.

Description

technical field [0001] The invention relates to the technical field of information security, in particular to an improved steganographic method for optimizing a decision-making surface. Background technique [0002] Steganography refers to the technology of hiding secret information in the carrier for secret communication; steganalysis is to analyze the detection object, judge whether it is a secret carrier, and further estimate the size and embedding position of the secret information, and finally extract the secret information the process of. In the process of steganography, when the data is embedded in the high-level plane, its hidden capacity will increase and the security will decrease rapidly. [0003] At present, the method of intelligent optimization is generally used to solve the optimization problem in the process of steganography, so as to improve the security of steganography. For example, for the LSB±1 (Least Significant Bits Matching, LSBM) steganography algo...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T1/00
CPCG06T1/0021G06T1/0092G06T2201/0051G06T2201/0052G06T2201/0065
Inventor 欧阳春娟
Owner 欧阳春娟
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