812 research outputs found

    STEGANOGRAFI CITRA DIGITAL MENGGUNAKAN ENKRIPSI BERDASARKAN PRINSIP KUBUS RUBIK DAN KODE BCH

    Get PDF
    Steganography is a technique to hide a secret message into another message, so the existence of the message is not detected by human senses. The secret message could be a picture, audio, video or text and the cover could be a picture, audio, video or text too. To improve the quality and performance of steganography, has been done research that merge the encryption method and error correction method. In this research, it has been simulated steganography system using a secret information in the form of text and digital image as a cover. The encryption method is an encryption based on rubik’s cube principle, the error correction method is BCH Code and the steganography is using Least Significant Bit (LSB) method. The accuration (without noise) is 100% and the PSNR is above 56 dB. The system's reliability also tested by adding Gaussian noise and Salt and Pepper noise. The result is a system that uses a BCH code is more resistant to noise than the system that do not use BCH code

    Micro protocol engineering for unstructured carriers: On the embedding of steganographic control protocols into audio transmissions

    Full text link
    Network steganography conceals the transfer of sensitive information within unobtrusive data in computer networks. So-called micro protocols are communication protocols placed within the payload of a network steganographic transfer. They enrich this transfer with features such as reliability, dynamic overlay routing, or performance optimization --- just to mention a few. We present different design approaches for the embedding of hidden channels with micro protocols in digitized audio signals under consideration of different requirements. On the basis of experimental results, our design approaches are compared, and introduced into a protocol engineering approach for micro protocols.Comment: 20 pages, 7 figures, 4 table

    Robust image steganography against lossy JPEG compression based on embedding domain selection and adaptive error correction

    Full text link
    Transmitting images for communication on social networks has become routine, which is helpful for covert communication. The traditional steganography algorithm is unable to successfully convey secret information since the social network channel will perform lossy operations on images, such as JPEG compression. Previous studies tried to solve this problem by enhancing the robustness or making the cover adapt to the channel processing. In this study, we proposed a robust image steganography method against lossy JPEG compression based on embedding domain selection and adaptive error correction. To improve anti-steganalysis performance, the embedding domain is selected adaptively. To increase robustness and lessen the impact on anti-steganalysis performance, the error correction capacity of the error correction code is adaptively adjusted to eliminate redundancy. The experimental results show that the proposed method achieves better anti-steganalysis and robustness

    The Implementation of Hamming Code Using Video Steganography

    Get PDF
    As time goes on, the internet world grows larger and larger. The massive number of people involved in the internet means that there are more data flying around in cyberspace waiting for someone to receive it; that is where the need for steganography emerges. The role of steganography is to ensure that the necessary transmitted data does not fall in the hands of the wrong person. It hides the vital data inside an image or video without noticeable changes, where only a key provided by the sender allows the receiver to crack open the cover and see the original data. Steganography is often mistaken as a method of cryptography. In fact, they are two different methods, but they can be used together. In cryptography, the observer can detect that there is a hidden message but he doesn’t have the required tools to crack it. Hamming code is a type of cryptography and it’s use in my paper will strengthen the security of this implementation and make it even harder to decipher

    A Highly Secure Video Steganography using Hamming Code (7, 4)

    Get PDF
    Due to the high speed of internet and advances in technology, people are becoming more worried about information being hacked by attackers. Recently, many algorithms of steganography and data hiding have been proposed. Steganography is a process of embedding the secret information inside the host medium (text, audio, image and video). Concurrently, many of the powerful steganographic analysis software programs have been provided to unauthorized users to retrieve the valuable secret information that was embedded in the carrier files. Some steganography algorithms can be easily detected by steganalytical detectors because of the lack of security and embedding efficiency. In this paper, we propose a secure video steganography algorithm based on the principle of linear block code. Nine uncompressed video sequences are used as cover data and a binary image logo as a secret message. The pixels’ positions of both cover videos and a secret message are randomly reordered by using a private key to improve the system’s security. Then the secret message is encoded by applying Hamming code (7, 4) before the embedding process to make the message even more secure. The result of the encoded message will be added to random generated values by using XOR function. After these steps that make the message secure enough, it will be ready to be embedded into the cover video frames. In addition, the embedding area in each frame is randomly selected and it will be different from other frames to improve the steganography scheme’s robustness. Furthermore, the algorithm has high embedding efficiency as demonstrated by the experimental results that we have obtained. Regarding the system’s quality, the Pick Signal to Noise Ratio (PSNR) of stego videos are above 51 dB, which is close to the original video quality. The embedding payload is also acceptable, where in each video frame we can embed 16 Kbits and it can go up to 90 Kbits without noticeable degrading of the stego video’s quality
    • …
    corecore