Distributed information hiding detection method for massive web images
A technology of information hiding and detection method, which is applied in the field of distributed information hiding detection, which can solve the problems of not considering real-time status, national information security threats, and inability to detect information hiding of massive web images, and achieves good detection effect and easy design And the effect of development and implementation, good scalability and versatility
Active Publication Date: 2016-08-24
SHANDONG COMP SCI CENTNAT SUPERCOMP CENT IN JINAN
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[0007] However, the existing information hiding detection system is limited to stand-alone detection and does not consider the real-time status, and generally cannot play the role of information hiding detection for massive web images
Many criminals will use open channels for covert communication, such as hiding the information to be transmitted in pictures, using open networks for covert communication or spreading network viruses, posing a serious threat to national information security
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[0017] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.
[0018] like Figure 1~3 As shown, the principle diagram, flow chart and operation flow chart of a single sub-node of the distributed information hiding detection method facing massive web images of the present invention are provided respectively, and it is realized by the following steps:
[0019] a).Hadoop environment construction, apply for a certain number of computing nodes in the cloud computing platform, and build a Hadoop operating environment to realize parallel processing of data;
[0020] Hadoop adopts a distributed system infrastructure, which can provide high transmission rate to access application data, and is suitable for applications with very large data sets; the number of computing nodes is determined according to the workload.
[0021] b). Generate a Nutch capture queue, put the initial seed URL into the capture database, use the gene...
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The distributed information hiding detection method facing massive web images of the present invention comprises: a). Building a Hadoop operating environment on a cloud computing platform; b). Generating a Nutch capture queue; c). d). Analyze the web page and extract the image in the web page; e). Use Hbase to store the extracted web image; f). Universal blind detection of the image; g). Screen out the BMP format and JPEG h). Image detection in BMP format; i). Image detection in JPEG format. The hidden image detection method of the present invention adopts open source technology Hadoop, Nutch, etc., is easy to design and develop and implement, and has good detection effect; it is suitable for massive image extraction and hidden information detection under the current network environment, and uses open channels for discovery and tracking Criminals who carry out covert communication have important practical significance for maintaining national information security.
Description
technical field [0001] The invention relates to a distributed information hiding detection method for massive web images, belonging to the field of information security. Background technique [0002] Information hiding detection system is the application level of information hiding detection technology. The Internet-oriented image information hiding detection system has a wide application prospect. [0003] Stegdetect is a detection tool for JPEG image files. It can only detect several embedded tools, such as: JSteg, JSteg-Shell, JPHide, Outguess, etc. Stegdetect includes: Stegdetect, Grawl, StegBreak, Distributed Dictionary Attack four parts. The Crawl module automatically collects JPEG image files on the network to provide data sources for the detector. Stegdetect has a built-in statistical detection model that detects the possibility that a JPEG image file contains hidden information. Using the dictionary attack tool StegBreak to distinguish the hidden tool used in th...
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IPC IPC(8): G06F17/30
Inventor 赵彦玲孙占全黄惠芬郑晓势
Owner SHANDONG COMP SCI CENTNAT SUPERCOMP CENT IN JINAN