Distributed information hiding detection method facing mass web images

Abstract

The invention relates to a distributed information hiding detection method facing mass web images, which comprises the following steps of: a, setting up a Hadoop operation environment on a cloud computing platform; b, generating a Nutch crawling queue; c, according to a MapReduce architecture of the Hadoop, carrying out distributed webpage crawling; d, analyzing a webpage and extracting images in the webpage; 3, storing the extracted web images by adopting Hbase; f, carrying out universal blind detection of the images; g, screening out images with a BMP (Bitmap) format and a JPEG (Joint Photographic Experts Group) format; h, detecting the images with the BMP format; and i, detecting the image with the JPEG format. The image hiding detection method disclosed by the invention adopts open source technologies such as Hadoop, Nutch and the like, is easy to design, develop and implement, has a good detection effect, is suitable for extraction of mass images and detection of hidden information in the current network environment and has important practical significance for finding out and tracking lawless people who utilize public channels to carry out covert communication and 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 and 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 t...

AI Technical Summary

Problems solved by technology

[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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