Mritha Ramalingam

A data-hiding technique using scene-change detection for video steganography

Enhances the security of embedded message by using scene-change detection and discrete cosine transforms of video sequences.Reduces distortions.Enhances video quality using discrete wavelet transforms in video sequences. This paper presents a data-hiding technique using scene-change detection for video steganography. Reducing the distortions in videos and securing the embedded data remain as competing goals in any video steganographic system. In this study, a data-hiding technique using discrete cosine transform (DCT) and discrete wavelet transform (DWT) coefficients is proposed to enhance the security of hidden data and minimize distortions to maintain better video quality. In this work, scene changes are detected using the DCT coefficients of video sequences for hiding data. Then, the cover-video and the payload are fused and normalized using the DWT coefficients to enhance video quality. The MATLAB simulation results indicate that the proposed method outperforms existing state-of-the-art methods. The comparison results reveal that the proposed data-hiding method offers better security and minimizes distortions for better video quality. Display Omitted

Fast retrieval of hidden data using enhanced hidden Markov model in video steganography

The hidden Markov model is enhanced in the proposed system for fast retrieval of hidden data from video files.Data embedding and retrieval processes are performed using the conditional states and state transition dynamics between the video frames.It enhances the retrieval data rate with minimized computation cost. In the digital world, secure data communication has an important role in mass media and Internet technology. With the increase in modern malicious technologies, confidential data are exposed at a greater risk during data communication. For secured communication, recent technologies and the Internet have introduced steganography, a new way to hide data. Steganography is the growing practice of concealing data in multimedia files for secure data transfer. Nowadays, videos are more commonly chosen as cover media than other multimedia files because of the moving sequence of images and audio files. Despite its popularity, video steganography faces a significant challenge, which is a lack of a fast retrieval system of the hidden data. This study proposes a novel video steganography technique in which an enhanced hidden Markov model (EHMM) is employed to improve the speed of retrieving hidden data. EHMM mathematical formulations are used to enhance the speed of embedding and extracting secret data. The data embedding and retrieving operations were performed using the conditional states and the state transition dynamics between the video frames. The proposed EHMM is extensively evaluated using three benchmark functions, and experimental evaluations are conducted to test the speed of data retrieval using differently sized cover-videos. Results indicate that the proposed EHMM yields better results by reducing the data hiding time by 3-50%, improving the data retrieval rate by 22-77% with a minimum computational cost of 20-91%, and improving the security by 4-77% compared with state-of-the-art methods.

A steganography approach for sequential data encoding and decoding in video images

The recent growth in computational supremacy and communication technology has propelled todays security technique called steganography to foremost. Essentially, a steganography system uses encoding and decoding algorithms to hide the secret data in cover-medium to produce stego-medium. A data hiding approach for embedding secret data in video images is presented. This paper is aimed to transmit maximum hidden data without losing the video quality and size. In order to achieve this goal, in this system we are using the encryption key for sequential data encoding and decoding. The system is implemented in MATLAB environment. The performance of the steganography approach has been evaluated using video images in bit mapped (bmp) format in Red, Green, and Blue (RGB) components. The experimental results prove that the sequential encoding based steganography system is simple and produces imperceptible distortions in resulting bmp images.

Self Assistive Technology for Disabled People – Voice Controlled Wheel Chair and Home Automation System

Received May 15, 2013 Revised Dec 12, 2013 Accepted Jan 3, 2014 This paper describes the design of an innovative and low cost self-assistive technology that is used to facilitate the control of a wheelchair and home appliances by using advanced voice commands of the disabled people. This proposed system will provide an alternative to the physically challenged people with quadriplegics who is permanently unable to move their limbs (but who is able to speak and hear) and elderly people in controlling the motion of the wheelchair and home appliances using their voices to lead an independent, confident and enjoyable life. The performance of this microcontroller based and voice integrated design is evaluated in terms of accuracy and velocity in various environments. The results show that it could be part of an assistive technology for the disabled persons without any third person’s assistance. Keyword: