Chinese Journal of Computers   Full Text
Title	An Attacked Image Based Hidden Messages Blind Detect Technique
Authors	MAO Jia-Fa1),2) LIN Jia-Jun2) DAI Meng3)
Address	1)(Department of Mathematics and Computer Science, Shangrao Normal University, Shangrao, Jiangxi 334001) 2)(College of Information Science & Engineering, East China University of Science & Technology, Shanghai 200237) 3)Computer Science and Information Engineering Department, Shanghai Institute of Technology, Shanghai 200233)
Year	2009
Issue	No.2(318—327)
Abstract &   Background	Abstract Steganalysis technique is an important part of the security of internet information. It’ essential problem is to estimate if the digital carrier takes the secret messages . This paper brings forward the blind detect technique which is based on the hidden messages for aggressive. A 2D feature vector in the spatial and DCT domains is extracted to blindly determine the existence of hidden messages in an image. For evaluation, a database composed of over 7000 cover and stego images(generated by using ten different embedding schemes) was established. Based on the database, simulation experiments were conducted to prove the feasibility and diversity of the proposed system.　The proposed system consists of following: (1) The average detection rate is about 90.085%, the total average for electropositive detection rate and negative detection rate; (2) It is not limited to the detection of a particular steganographic scheme; (3) It has the capability to detect the stego images with an lower embedding rate; (4) The test of plain images which is smoothing, sharpening, image size zoomed out, cutting and recompressing can be inspected. Keywords steganaography; steganalysis; digital watermarking; data hidden Background With the rapid development of digital multimedia and network technology, information hiding has been received much more attention both in theoretical and industrial fields during the last decades. The concept of information hiding is to hide data in the cover medium imperceptibly. Particularly, steganography is typical application of information hiding. The main purpose of steganography is for covert communication. In contrast to data hiding, steganalysis is the art of detecting the presence of hidden messages. It is developed to block the covert communication with illegal information for the urgent security demands of network. Steganalysis’ technique is very important for the security of network information and how to search and detect secret messages which is transferred in network is crucial and practical to safeguard the national security. So Steganalysis’ technique is an important part of the internet information security. For example, an inlet/outlet content-monitoring program can inspects and intercept suspected multimedia data which is transmitted on the network. In addition, steganalysis techniques can also be utilized to evaluate the security of the channels for covert communication under construction. The massive variety of data hiding methods make the design of staganlysis methods to cope with most embedding methods blindly and defiantly. Up to the present, hardly any detection method can explore all kinds of embedding methods absolutely. This work was supported by the Natural Science Foundation of Jiangxi Provincial Department of Education under the grant No.Gjj08462, and the Shanghai Education Development Foundation (“ChenGuang” project) under the grant No.2008CGB21. The meaning of these projects is to research Steganalysis’ technique, to develop and advance hidden messages blindly detect technique, to enhance the security of the network information for our country. This work was proposed that an attacked image was based on the hidden messages blindly detect technique .This technique is one of the most important parts of these project. Since studying for Ph.D, the author has been done research which is in the area of hiding message blind detecting following his tutor. He and his research colleague have completed the Shanghai Security Research Institute 104 project of Image Hiding Message Detection System between November 2005 and October 2006. Since November 2006, they have taken part in Beijing Security Research Institute 115 project of research stego-image evaluating flat. So our work is supported by Beijing Security Research Institute 115 project. In last years, He and his research colleague have co-authored over 50 technical publications in these areas, including 8 journal papers and one patent.