Compression scheme for faster and secure data transmission over networks

Abstract

The compression algorithms reduce the redundancy in data representation to decrease the storage required for that data. Data compression offers an attractive approach to reducing communication costs by using available bandwidth effectively. There has been an unprecedented increase in the amount of digital data transmitted via networks especially through the Internet and mobile cellular networks, over the last decade. Digital data represent text, images, video, sound, computer programs, etc. With this trend expected to continue, it makes sense to pursue research on developing algorithms that can most effectively use available network bandwidth by maximally compressing data. A strategy called intelligent dictionary based encoding (IDBE) in conjunction with Burrows Wheeler Transform (BWT) is discussed to achieve this. It has been observed that a preprocessing of the text prior to conventional compression will improve the compression efficiency much better. The intelligent dictionary based encoding provides some level of confidentiality. The experimental results of this compression method are also analyzed.