A big data image protection method and system based on a safe area
A security area and big data technology, applied in the field of information security, can solve the problem of not fully hiding secret information to foreground objects, and achieve the effect of improving detection resistance and robustness
Active Publication Date: 2022-02-11
NANJING UNIV OF INFORMATION SCI & TECH
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This method is most similar to the method of the present invention, but the faster rcnn in this method can only realize the identification of the rectangular frame of the foreground object. After information hiding, it is equivalent to hiding the secret information in the rectangular frame containing the object, which is not completely Achieve the purpose of hiding secret information into foreground objects
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[0066] In order to better understand the technical content of the present invention, specific embodiments are given together with the attached drawings for description as follows.
[0067] Aspects of the invention are described in this disclosure with reference to the accompanying drawings, which show a number of illustrated embodiments. Embodiments of the present disclosure are not necessarily defined to include all aspects of the present invention. It should be appreciated that the various concepts and embodiments described above, as well as those described in more detail below, can be implemented in any of numerous ways, since the concepts and embodiments disclosed herein are not limited to any implementation. In addition, some aspects of the present disclosure may be used alone or in any suitable combination with other aspects of the present disclosure.
[0068] The idea of the patent of the present invention is to first select a safe area with complex texture and rich...
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The present invention provides a big data image protection method based on a safe area, including: S1: using a target detection method to select a target safe area, and extracting color image features at the same time; S2: using a big data technology to train a network model by using a big data picture set; Test the network model, apply the application algorithm of the deep learning model in target detection, and extract the object area as the security area for information protection; S3: Use the extracted security area as the steganographic area of the secret image, and apply the steganographic algorithm to secret information hide. The invention can apply the application algorithm of the deep learning model in the target detection, that is, the Mask R-CNN instance segmentation method, select the area with complex texture noise in the image, that is, the foreground part, and accurately hide the secret information in the foreground object, Thereby, the purpose of more secret image secret information hiding and protection is realized.
Description
technical field [0001] The present invention relates to the field of information security, in particular to a large data image protection method and system based on a security area. Background technique [0002] With the rapid development of science and technology, computer network, multimedia technology and personal mobile communication technology have been widely used by everyone. A large amount of multimedia information is transmitted by people more conveniently and quickly in the network, which is convenient for everyone's communication and exchange. However, while multimedia information brings convenience to people's life, information security issues such as personal privacy being spied on and disseminated are gradually becoming more and more serious. aroused people's great attention. In recent years, some information security problems have been solved to a certain extent by information hiding technology. This method hides the secret information in a carrier medium (i...
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IPC IPC(8): G06F21/60G06N3/04G06N3/08G06K9/62G06V10/764G06V10/82
CPCG06F21/602G06N3/08G06N3/048G06N3/045G06F18/24
Inventor 孟若涵孙星明周志立崔琦袁程胜曹燚
Owner NANJING UNIV OF INFORMATION SCI & TECH