Shwe Sin Myat Than

Work place: University of Computer Studies, Hpa-an, Myanmar

E-mail: ssmyatthan@gmail.com

Website:

Research Interests: Multimedia Information System, Image Processing, Image Manipulation, Image Compression, Computer Vision, Computer systems and computational processes

Biography

Shwe Sin Myat Than received the Bachelor of Computer Science (B.C.Sc.) degrees from the Computer University, Hpa-An, Myanmar in 2004. She graduated from Computer University, Thaton, with a Master of Applied Science (M.A.Sc.) in Computer Technology, in 2011. She is interested in Cryptography, Multimedia, Computer Vision and Image Processing. She works as a Lecturer at Faculty of IT Support and Maintenance in University of Computer Studies, Hpa-an, Myanmar.

Author Articles
Secure Data Transmission in Video Format Based on LSB and Huffman Coding

By Shwe Sin Myat Than

DOI: https://doi.org/10.5815/ijigsp.2020.01.02, Pub. Date: 8 Feb. 2020

The growth of needing to transmit bit amount of data through the internet in secure format encourage the research for steganography technique, especially in video file. Stenographic technics in video format gives many advantages to transportation of important data because video files are a part of people’s daily life and the attackers can’t notice easily. The high embedding capacity of video file improves the popularity of video steganography among the various media types. Therefore, the simplest form but with many advantage of (Least significant bit) LSB, that is enforced with the high compression method of Huffman chunk coding method is proposed in this paper to embed data in video file in multi-step cryptography embedding schemes. The intension is to get more secure nature of the system and to get more embedding capacity system. The experiments are carried out with various sizes of video files and text file sizes are used to show the effectiveness of the proposed methods. The results manifest superior performance for proposed algorithm with the performance parameters like Peak Signal to Noise Ratio (PSNR), Mean Square Error (MSE) and Bit Error Rate (BER) are calculated to test the quality of stego video.

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