Journal Article•
A survey on a an advanced approach for motion video Steganography using LSB technique
01 Jan 2018-International Journal of Advance Research and Innovative Ideas in Education (IJARIIE)-Vol. 4, Iss: 1, pp 967-973
TL;DR: This paper work on improve data hiding capacity using video Steganography and use motion vector here for hiding data using LSB approach for hide text data and proposed system to improve images accuracy, embedding capacity.
Abstract: Need of hiding information from intruders has been around since ancient times. Nowadays digital media is getting advanced like text, image, audio, video etc. To maintain the secrecy of information different methods of hiding have been evolved. One of them is Steganography which means hiding information under some other information without noticeable change in cover information. Video Steganography is the technique of hiding some covert message inside a video. In these paper work on improve data hiding capacity using video Steganography and use motion vector here for hiding data using LSB approach for hide text data. Using proposed system to improve images accuracy, embedding capacity. To enhance more security each bit of secret frames will be stored in covered frames. That are achieves good images quality when compared with existing method.
Citations
More filters
01 Jan 2016
TL;DR: Optimized and hybrid based robust digital video watermarking scheme has been proposed and the optimization is performed in the proposed system with the help of genetic algorithm.
Abstract: Now a day's large amount of digital information such as video, audio or image is spread over the internet. So it should be a great challenge for all researchers to provide security to such a type of digital data. Also the piracy and copyright is emerging issue when digital information in the form of video, audio & image is transmitted over the transmission media. So to prevent the problem of piracy and security of digital data such as video, video watermarking techniques has been introduced. There are various watermarking schemes to give the security to videos but they were unable to provide the quality in terms of robustness and security. In this paper optimized and hybrid based robust digital video watermarking scheme has been proposed. The optimization is performed in the proposed system with the help of genetic algorithm. The quality of the proposed watermarking scheme is measured in terms of PSNR and NC values. The PSNR calculated using our approach is off 50.48 db which is far better than existing approaches.
6 citations
01 Oct 2016
TL;DR: The aim is to propose a system based on encryption of compressed video bit streams and hiding privacy information to protect videos during transmission using H.264/AVC, and the methods used provide better performance interms of computation efficiency, high data security and video quality after decryption.
Abstract: The aim is to propose a system based on encryption of compressed video bit streams and hiding privacy information to protect videos during transmission using H.264/AVC. To maintain security and privacy video needs to be stored and processed in an encrypted format. Here, data hiding is done directly in the encrypted version of H.264/AVC which includes the following three parts i.e, H.264/AVC video encryption, data embedding and data extraction. choas encryption is used to encrypt/decrypt the secret data before/after data embedding/extraction. The simulated results shows that the methods used provide better performance interms of computation efficiency, high data security and video quality after decryption. The parameters such as mean square error, peak signal to noise ratio, correlation and structure similarity index are evaluated to measure its efficiency.
2 citations
References
More filters
Journal Article•
TL;DR: In this article, a scheme is proposed in which the data hiding is done in encrypted version directly which includes the following different parts i.e. H.264/AVC video encryption, after that data embedding and at last data extraction.
Abstract: Sometimes there is need to store a digital encrypted video for a security purpose. For the video encryption purpose we need to hide a data behind the video. There are many techniques to hide a data. In this paper, a scheme is proposed in which the data hiding is done in encrypted version directly which includes the following different parts i.e. H.264/AVC video encryption, after that data embedding and at last data extraction. The codeword substitution method is used for getting the better results we used the codewords of motion vector differences and the code words of the residual coefficients. After that we can again hide the additional data by the method of codeword substitution. At the receiver side we can extract the data from the encrypted version directly or else we can extract the data and the original video by using encryption key. The experimental results shows the system’s efficiency and feasibility.
66 citations
TL;DR: Experimental results show that the proposed method can enhance the security performance significantly compared with other existing motion vector-based video steganographic approaches, while obtaining the higher video coding quality as well.
Abstract: This paper presents an effective methodology for motion vector-based video steganography The main principle is to design a suitable distortion function expressing the embedding impact on motion vectors by exploiting the spatial-temporal correlation based on the framework of minimal-distortion steganography Two factors are considered in the proposed distortion function, which are the statistical distribution change (SDC) of motion vectors in spatial-temporal domain and the prediction error change (PEC) caused by modifying the motion vectors The practical embedding algorithm is implemented using syndrome-trellis codes (STCs) Experimental results show that the proposed method can enhance the security performance significantly compared with other existing motion vector-based video steganographic approaches, while obtaining the higher video coding quality as well
65 citations
15 Apr 2015
TL;DR: A high embedding payload of video steganography algorithm has been proposed based on the BCH coding to improve the security of the algorithm and is compared to both the Least Significant Bit (LSB) and [1] algorithms.
Abstract: Video steganography has become a popular topic due to the significant growth of video data over the Internet. The performance of any steganography algorithm depends on two factors: embedding efficiency and embedding payload. In this paper, a high embedding payload of video steganography algorithm has been proposed based on the BCH coding. To improve the security of the algorithm, a secret message is first encoded by BCH(n, k, t) coding. Then, it is embedded into the discrete wavelet transform (DWT) coefficients of video frames. As the DWT middle and high frequency regions are considered to be less sensitive data, the secret message is embedded only into the middle and high frequency DWT coefficients. The proposed algorithm is tested under two types of videos that contain slow and fast motion objects. The results of the proposed algorithm are compared to both the Least Significant Bit (LSB) and [1] algorithms. The results demonstrate better performance for the proposed algorithm than for the others. The hiding ratio of the proposed algorithm is approximately 28%, which is evaluated as a high embedding payload with a minimal tradeoff of visual quality. The robustness of the proposed algorithm was tested under various attacks. The results were consistent.
56 citations
TL;DR: The experimental results show that the proposed steganalytic method can detect the hidden data effectively in motion-vector-based steganography algorithms.
54 citations
TL;DR: A steganalytic approach against motion vector-based video steganography that does not depend on the detailed knowledge of embedding algorithms, which indicates that the proposed approach is suitable to be used in situations where a very limited priori knowledge is available.
Abstract: This paper presents a steganalytic approach against motion vector-based video steganography that does not depend on the detailed knowledge of embedding algorithms. In most state-of-the-art video coding standards, the motion vector is the result of block-based motion estimation using rate-distortion optimization. That is to say, each motion vector is locally optimal in a rate-distortion sense, and any modification will inevitably shift the motion vector from locally optimal to non-optimal. As a consequence, it is a very strong evidence of steganography if some motion vectors are found to be locally non-optimal. Based on this fact, the core of our method is an estimator to check the local optimality of motion vectors in a rate-distortion sense. We try to recover the necessary information used for motion vector decision that is lost during lossy compression, based on which a 36-D feature set is formed for training and classification. To demonstrate the effectiveness of the proposed approach, experiments are carried out in different settings. The corresponding results show that our approach has a wide applicability even at low embedding strengths. Particularly, the problem of cover source mismatch is largely alleviated, which indicates that the proposed approach is suitable to be used in situations where a very limited priori knowledge is available.
46 citations