Robust video data security using hybrid cryptography-steganography technique

The interest in the digital videos confidentiality in the current electronic and interrelated world has increased. Thus, this paper aimed at making a video steganography scheme for an acceptable security with high speed of calculation by embedding data (video frames) in other video frames. The techniques of embedding and encrypting video frames in a cover video file were done through two ways. Firstly, two keys and XOR bit operation were employed to create a large range of different keys for encryption. Secondly, a modified method of Least Significant Bit (LSB) technique was used for hiding high resolution video frames (bitmap color) in selective cover video frames, offering two security layers. The procedures of encrypting and hiding video data were successfully tested on many secret videos such ad Eye Video, Secret Medicine Video and Traffic Video. All experiments were conducted using MATLAB-GUI software, representing an efficient and easy tool for video management supported by powerful testing tools as histograms and mathematics for video quality. Experimental result demonstrated a good performance with low correlation and very high PSNR of the Stego video frames

Data Hiding in Video Streaming by Code Word Substitution

Data hiding techniques can be used to embed a secret message and secret image into a video bit stream for copyright protection, access control and transaction tracking. They are some data hiding techniques to assess the quality of video in the absence of the original reference. To avoid the drawback of existing system such as lossless compression, gray scale mapping and noisy images forces higher bit plane when distortion are easily visible.Data hiding is also used for concealment in applications of video transmission, gray scale mapping and noisy image. Edge quality information and number of bits of a block are hidden in the bit streams processed in an encrypted format to maintain security and privacy. DOI: 10.17762/ijritcc2321-8169.15035

Large-capacity and Flexible Video Steganography via Invertible Neural Network

Video steganography is the art of unobtrusively concealing secret data in a cover video and then recovering the secret data through a decoding protocol at the receiver end. Although several attempts have been made, most of them are limited to low-capacity and fixed steganography. To rectify these weaknesses, we propose a Large-capacity and Flexible Video Steganography Network (LF-VSN) in this paper. For large-capacity, we present a reversible pipeline to perform multiple videos hiding and recovering through a single invertible neural network (INN). Our method can hide/recover 7 secret videos in/from 1 cover video with promising performance. For flexibility, we propose a key-controllable scheme, enabling different receivers to recover particular secret videos from the same cover video through specific keys. Moreover, we further improve the flexibility by proposing a scalable strategy in multiple videos hiding, which can hide variable numbers of secret videos in a cover video with a single model and a single training session. Extensive experiments demonstrate that with the significant improvement of the video steganography performance, our proposed LF-VSN has high security, large hiding capacity, and flexibility. The source code is available at https://github.com/MC-E/LF-VSN.Comment: Accepted by CVPR 202

Out-of-the-loop information hiding for HEVC video

Communication using internet and digital media is more and more popular. Therefore, the security and privacy of data transmission are highly demanded. One effective technique providing this requirement is information hiding. This technique allows to conceal secret information into a video file, an audio, or a picture. In this paper, we propose a low complexity out-of-the-loop information hiding algorithm for a video pre-encoded with the high efficiency video coding standard. Only selected components such as the motion vector difference and transform coefficients of the video are extracted and modified, bypassing the need of fully decoding and re-encoding the video. In order to reduce the propagation error caused by hiding information, the dependency between video frames is taken into account when distributing the information over the frame. Several embedding strategies are investigated. The experimental results show that the information should be hidden in smaller blocks to reduce quality loss. Using a smart distribution of information across the frames can keep the quality loss under 1 dB PSNR for an information payload of 15 kbps. When such a strategy is used, embedding information in the transform coefficients only slightly outperforms the modification of motion vector differences

Data Hiding of Motion Information in Chroma and Luma Samples for Video Compression

International audience2010 appears to be the launching date for new compression activities intended to challenge the current video compression standard H.264/AVC. Several improvements of this standard are already known like competition-based motion vector prediction. However the targeted 50% bitrate saving for equivalent quality is not yet achieved. In this context, this paper proposes to reduce the signaling information resulting from this vector competition, by using data hiding techniques. As data hiding and video compression traditionally have contradictory goals, a study of data hiding is first performed. Then, an efficient way of using data hiding for video compression is proposed. The main idea is to hide the indices into appropriately selected chroma and luma transform coefficients. To minimize the prediction errors, the modification is performed via a rate-distortion optimization. Objective improvements (up to 2.3% bitrate saving) and subjective assessment of chroma loss are reported and analyzed for several sequences

Video scene change detection based on histogram analysis for hiding message

The rapid growth of internet technology has greatly increased the opportunity for secrecy communication. Most of communications implemented compression method in digital applications due to fast transferring data in the limited bandwidth. In addition, the information can be changed by a third party in communication. This paper proposed a new hiding technique by modifying DCT coefficients in the video frames. The scene changes of the video data are identified based on histogram analysis for hiding locations. Scene changes among video frames are detected by measuring the significant difference of histogram analysis. The proposed hiding technique in video is also evaluated against MPEG-4 compression. The experimental results show that the proposed scheme achieved high imperceptibility with minimum visual distortion on the video quality. The proposed hiding scheme also can recover the concealed data from the compressed video. The results show that the extracted hidden message is able to resistant against MPEG compression

AN APPROACH TOWARDS EFFICIENT VIDEO DATA HIDING USING PROHIBITED ZONE

The process of embedding information into a host medium is a data hiding. In general, due to their wide presence and the tolerance of human perceptual systems involved visual and arual media are preferred. The methods vary depending on the nature of such media and the general structure of data hiding process does not depend on the host media type. Due to the design complexities involved video data hiding is still an important research topic. A new video data hiding method that makes use of removal correction capabilities of replicate accumulate codes and advantage of prohibited zone data hiding is proposed in this paper. To determine host signal samples suitable for data hiding selective embedding is utilized in the proposed method. In order to withstand frame drop and insert attacks a temporal synchronization scheme is contained in this method. By typical broadcast material against MPEG- 2, H.264 compression, frame-rate renovation attacks, as well as other renowned video data hiding methods the proposed framework is tested here. For typical system parameters the decoding error values are reported. The imitation results specify that the frame can be effectively utilized in video data hiding applications