A DCT-based robust video steganographic method using BCH error correcting codes

Abstract

Due to the significant growth of video data over the Internet, it has become a popular choice for data hiding field. The performance of any steganographic algorithm relies on the embedding efficiency, embedding payload, and robustness against attackers. Low hidden ratio, less security, and low quality of stego videos are the major issues of many existing steganographic methods. In this paper, we propose a DCT-based robust video steganographic method using BCH codes. To improve the security of the proposed algorithm, a secret message is first encrypted and encoded by using BCH codes. Then, it is embedded into the discrete cosine transform (DCT) coefficients of video frames. The hidden message is embedded into DCT coefficients of each Y, U, and V planes excluding DC coefficients. The proposed algorithm is tested under two types of videos that contain slow and fast moving objects. The results of the proposed algorithm are compared with three existing methods. The results demonstrate better performance for the proposed algorithm than for the others. The hidden ratio of the proposed algorithm is approximately 27.53%, which is evaluated as a high hiding capacity with a minimal tradeoff of the visual quality. The robustness of the proposed algorithm was tested under different attacks. areas of wireless sensor networks, mobile communications, network security, quantum computing, and formal approaches for design and verification. He has published more than three hundred research papers in international journals and conferences in his areas of expertise. Dr. Elleithy has more than 25 years of teaching experience. His teaching evaluations are distinguished in all the universities he joined. He supervised hundreds of senior projects, MS theses and Ph.D. dissertations. He supervised several Ph.D. students. He developed and introduced many new undergraduate/graduate courses. He also developed

A Robust and High Capacity Data Hiding Method for H.265/HEVC Compressed Videos with Block Roughness Measure and Error Correcting Techniques

“…As seen in the table, in case of the Container video, survival rate attained by proposed BCH(7, 4, 1) error correcting code is better than both Swati et al [15] and Liu et al [14] at all QP values. As expected, BCH (31,11,5) scheme performs much better than both the literature at all QP values in the range 29-35. The proposed Turbo error correcting schemes gives interesting results.…”

“…As seen is the table, the coding scheme with block length K t = 16 performs much better than both Swati et al [15] and Liu et al [14]. In addition, its performance is similar to BCH (31,11,5). This means that, in the proposed method, Turbo code with block length 16 is almost as powerful as BCH (31,11,5).…”

“…To attain a high degree of robustness against these attacks, in this paper, we use BCH and Turbo error correcting codes. The BCH code has been used in some existing literature [3,4,30,31]. However, its effectiveness is expected to increase when used in conjunction with the SME (1,3,7) whose change density is one-third of most of the existing LSB based embedding techniques.…”

“…Several researchers [14, [29][30][31][32] have shown that error correcting codes (linear block and convolutional codes) such as CRC, Reed-Muller codes, and Bose-Chaudhury-Hocquenghem (BCH) codes can significantly reduce embedding distortion and increase robustness in noisy and unreliable transmission scenario and also against video re-quantisation attacks. In this paper, we use a carefully designed set of BCH codes and Turbo codes [33].…”

Identify Criminal Records in Social Media using Sentiment Analysis

“…This method is called perturbed because Macroblock partitioning is perturbed during inter-frame coding. In [133][134] authors discussed a method of video steganography where DCT (Discreet Cosine Transform) has been performed on all the frames of the video and secret data is embedded in the higher order coefficient of the DCT . In [135] authors used DWT (Discreet Wavelet transform) to embed secret data which is BCH encoded before embedding.…”