An Efficient Compression Algorithm (ECA) for Text Data
Amit Jain, Ravindra Patel · 2009
Data compression algorithms are used to reduce the redundancy and storage requirement for data. Data compression is also an efficient approach to reduce communication costs by using available bandwidth effectively. Over the last decade we have seen an unprecedented explosion in the amount of digital data transmitted via the Internet in the form of text, images, video, sound, computer programs, etc. If this trend expected to continue, then it will be necessary to develop a compression algorithm that can most effectively use available network bandwidth by compressing the data at maximum level. Along with this it will also important to consider the security aspects of the compressed data transmitting over Internet, as most of the text data transmitted over the Internet is very much vulnerable to an attack. So, we are presenting an intelligent, reversible transformation technique that can be applied to source text that improve algorithm ability to compress and also offer a sufficient level of security to the transmitted data.