Issue |
ITM Web Conf.
Volume 32, 2020
International Conference on Automation, Computing and Communication 2020 (ICACC-2020)
|
|
---|---|---|
Article Number | 03006 | |
Number of page(s) | 5 | |
Section | Computing | |
DOI | https://doi.org/10.1051/itmconf/20203203006 | |
Published online | 29 July 2020 |
A Compression Algorithm for DNA Palindrome Compression Technique
Professor, Department of CSE, NRIIT, Vijayawada, A.P, India
Professor, Department of CSE, NRIIT, Vijayawada, A.P, India
Associate Professor, Department of CSE, NRIIT, Vijayawada, A.P, India
Data Compression in Cryptography is one of the interesting research topic. The compression process reduces the amount of transferring data as well as storage space which in turn effects the usage of bandwidth. Further, when a plain text is converted to cipher text, the length of the cipher text becomes large. This adds up to tremendous information storing. It is extremely important to address the storage capacity issue along with the security issues of exponentially developing information. This problem can be resolved by compressing the ciphertext based on a some compression algorithm. In this proposed work used the compression technique called palindrome compression technique. The compression ratio of the proposed method is better than the standard method for both colored and gray scaled images. An experimental result for the proposed methods is better than existing methods for different types of image.
Key words: DNA Cryptography / Plaindrome / Data Compression / Encryption / Decryption
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.