Research On Quote Counterattack Technique For Image-based Network Public Opinion Attack

As information technology used in the war continues to be improved, online media has become an important backbone carrier of military strike and public opinion warfare, the internet media has many good characteristics such as a wide coverage, a fast information dissemination speed, an unlimited amount, good interaction and so on, making the network become the main battlefield of public opinion warfare.Among the media types using for penetration and diffusion in the public opinion warfare, digital image have become an increasing public attention to the attackers, and been increasingly used in the network public opinion attack. This will have a serious impact on social stability and development. Through the network, we can employ the image-based quote technique to get the same or similar images which are used in the network public opinion attack. After making a comparison and analysis between the source images and retrieval results, we could take an example to identify the reality of images. This identification information will achieve remarkable effect since it is easy for the public to understand, also more believable and intuitionistic. To address this problem, we focus on the study of quote counterattack techniques in the network public opinion attack based on the digital images, and this innovative work in this paper includes the following three aspects:First, due to the shortcomings of digital image forensics method for image-based network public opinion counterattack, we propose a quote counterattack approach by analyzing the typical mode for image-based network public opinion attack. According to the characteristics of the images used in network public opinion attack, we investigate the quote technique including the basic concept, working principle and its workflow. The related work about the quote technique on digital image is also reviewed.Secondly, in the propagation process of network public opinion, the most common way is using the images of public events. In order to retrieve the relevant image information in time, this paper proposes an image retrieval method based on object combination feature, and the method employs the result of the conventional image searching engine, extracts the combination feature of public events image by mining and recognition of objects, and uses SVM (Support Vector Machine) to construct a public events image classifier. The classification results can filter out a large number of useless information which is retrieved by text-based image searching engine, and find the related images of public events on the network effectively.Finally, the core of digital image quote technique is similar image retrieval method. This paper takes into account similar image retrieval method based on SIFT (Scale Invariant Feature Transform) feature and object-based image retrieval method. And then, this paper proposes to integrate SIFT and object feature together, it presents a combined image retrieval method SOFC (SIFT and Object Feature Combined content based image retrieval). Experimental results display that, compared with the similar image retrieval methods based on SIFT or object features, the SOFC remarkably improves the precise and effectiveness of similar image retrieval result.This study presents a good theoretical and technical basis for the counterattack technique against the image-based network public opinion attack.