Enhancement of video encryption algorithm performance using finite field Z 2 3 -based chaotic cipher and by integrating discrete cosine transform and quantization process
Suryadi Suryadi, Bagio Budiardjo, Kalamullah Ramli · Computational intelligence · 2011
The algorithm's improvement is started by compression process which is discussed in this paper, and continued by encryption process using finite field Z23-based bit stream. In this paper will be described integration of Discrete Cosine Transform (DCT) process and quantization in video data compression algorithm. The integration is done in order to improve time and compression ratio. The method is employed by inserting quantization process in the DCT function, as well as for the decompression process. It can be done since the orthonomality property of the prior DCT function is still valid, algebraically. The use of finite field Z23 as the basis of bit stream encryption process with chaotic cipher. Construction of finite field Z23 is based on finite field Z2, algebraic concept employed in cryptography. Finite field Z23 has 8 elements whereas Z2 has 2 elements. Therefore more combination of bit stream composition pattern can be achieved and robustness against known-plaintext attack is expected. Result obtained in this paper is related with the first aim, that is, a better compression time. It is obtained based on mathematical and algorithm analyses done, that the integration of the two processes can improve to a better time complexity.