Papers by Keyword: Steganography

Abstract: During real time there are problems in transmitting video directly to the client. One of the main problems is, intermediate intelligent proxy can easily hack the data as the transmitter fails to address authentication, and fails to provide security guarantees. Hence we provide steganography and cryptography mechanisms like secure-code, IP address and checksum for authentication and AES algorithm with secret key for security. Although the hacker hacks the video during transmission, he cannot view the information. Based on IP address and secure-code, the authenticated user only can get connected to the transmitter and view the information. For further improvement in security, the video is converted into frames and these frames are split into groups and separate shared key is applied to each group of frames for encryption and decryption. This secured communication process is applied in image processing modules like face detection, edge detection and color object detection. To reduce the computation time multi-core CPU processing is utilized. Using multi-core, the tasks are processed in parallel fashion.

Abstract: The full realization of human visual redundancy safely embedded secret information is information hiding goal Steganography existing image information technology in many fields of image data to achieve the same paper will quantify the signal compression coding theory and methods. information used in dense cover, we propose a fully redundant human visual images of different domain information steganographic method and designed three new error correction method to ensure the accuracy of blind ciphertext information extraction and recovery experiments show that the algorithm spatial statistical properties of the image data changes less with a capacity of more hidden PCT Gao and safety.

Abstract: In order to solve the security problem of the multimedia in the communication process, steganography plays a vital role. In this paper, the DCT domain of digital image steganography is to study the impact of image quality with different embedding positions, the secret information in the DCT domain of an image, different carrier images and the amount of information. Studies show that: embedding the information in the low frequency part of the image, selecting the image with the rich distribution pixel value, is conducive to improve the steganography effects of the information in the image, enhance the concealment of the secret information.

Abstract: In this paper, we compare Huffman coding and Arithmetic coding with ASCII coding to observe their contribution to steganography. This way is to compress the embedded information first for enhance the payload of a cover image. There are many wonderful coding methods to compress this kind of string, such as Huffman coding and Arithmetic coding. The experiment results indicate that Huffman coding and Arithmetic coding as an important preprocess step of steganography can effectively reduce the amount of secret information with efficient encoding performance. And a theory opinion related to payload calculation is proposed which can be used to describe the relationship among the three parameters of steganography: imperceptibility, information embedding efficiency and payload.

Abstract: On digital image steganography, the traditional LSB method usually makes the histograms change relatively large after the image steganography; therefore,the hidden information can be detected easily. This paper puts forward a new method based on the nonlinear optimization to determine the best LSB steganography technology of histogram detecting. It can make the histograms total change to be smaller and difficulter to be detected.

Abstract: The objective of Steganography is to hide the information inside other data in order to avoid being spotted by the strangers. Steganography is an old-fashioned art that has been reborn in current years. This current paper provides a literature review on the security of Steganography organization and emphasizes on its measurements. The proposed algorithm introduces a novel hashing and encoding algorithm to generate a digital signature. Later, it has been embedded into the original data which doesnt require extra bandwidth for communication by signature.

Abstract: With human eyes has different insensitive to different types of texture, edged and dark area, this paper proposed an image steganography with higher embedding capacity and good stego image quality. In our method, the image blocks was divided into four kinds (texture, edged, dark and smooth), and secret message was embedded with the algorithm of modulus function coincide with wavelet transform. From the experimental results, the complexity notion can distinguish different kinds of blocks precisely, and the steganography method can hide much larger message and maintain a good visual quality of stego image.

Abstract: Reversible data hiding techniques can completely recover the cover images after extracting the secret message from the stego images and become a hot research topic recently. The histogram shift-based steganography, which is a kind of reversible data hiding technique, has good performance on imperceptibility. However, it also produces obvious features in the histograms of stego images. In this paper, we propose a steganalysis method based on the payload invariant features to detect the histogram shift-based steganography proposed by Ni et al. In the proposed steganalysis method, the minimum of the sum of the proposed features is first obtained, which is then compared with a predefined threshold to determine an image is a stego or a cover one. Experimental results show that the proposed steganalysis method can provide very high detection accuracy (about 98%) in various payload cases. Compared with the other steganalysis method, the proposed method can provide better detection performance under different embedding ratios and, therefore, is more reliable for detection of the histogram sift-based steganography.

Abstract: In this paper we propose a new steganographic method, which based on wet paper codes and wavelet transformation. The method is designed to embed secret messages in images' wavelet coefficients and depends on images' texture characters in local neighborhood. The receivers can extract secret bits from carrier images only by some matrix multiplications without knowing the formulas written by senders, which further improves steganographic security and minimizes the impact of embedding changes. The experimental results show that our proposed method has good robust and visual concealment performance and proves out it's a practical steganographic algorithm.

Abstract: Criminals often destructed or hided evidence after making crime by computer, they hindered computer forensics by anti-forensics technology. A new approach of computer forensics based on steganalysis is proposed. The common anti-forensics technologies, such as steganography, data encryption delete evidence and make forensics invalid. In order to enhance the evidence efficiency, steganalysis is applied in the computer forensics to collect and transfer evidence. Simulation results show that steganography based on least significant bit (LSB) by java program embeds the text files into the BMP image files, which sizes are nearly invariable. Steganalysis restores the hidden information and provides convenient method for computer forensics.