A Novel Encoding Technique Using a Self Invertible Key Matrix and the Adjacency Matrices of Pan Graphs

Author:

P Mohan1,K Rajendran1,A Rajesh1

Affiliation:

1. Vels Institute of Science, Technology & Advanced Studies (VISTAS)

Abstract

Abstract Message encryption techniques are now the most important safeguards for our data and communications. The use of networks and the internet has sped up the development of message encryption technology. If sensitive, private messages are shared over unsecured networks, there is a possibility of an attack, theft, or hacking of the communications. It has been revealed that using cryptographic techniques is essential for shortening this period. The Caesar Cipher, Hill Cipher, and others are a few examples of the symmetric enciphering methods. The enciphering method given in this article encrypts and decrypts the input messages to generate a complex cipher using a self-invertible key matrix and an adjacency matrix of the pan graphs. Since the key matrix we are using is the self-invertible matrix, whose inverse always exists, we can decode the cipher without having to compute the inverse of the key matrix. The reduction in computational complexity facilitates our capacity to determine the inverse of a key matrix.

Publisher

Research Square Platform LLC

Reference18 articles.

1. A Novel methods of generating self-invertible matrix for Hill Cipher Algorithm;Acharya B;Int. J. Secur.,2007

2. Alastair, Farrugia: Self-complementary graphs and generalisations: a comprehensive reference manual. University of Malta (1999)

3. An algorithmic approach for encryption using graph Labeling;Amudha P;J. physcis,2021

4. Arumugam, S., Ramachandran, S.: Invitation to Graph theory. Scitech Publications (2015)

5. Brandstädt, A., Le, Van Bang, Spinrad, Jeremy, P., Graph Classes: A Survey, Society for Industrial and Applied Mathematics (1999). https://epubs.siam.org/doi/book/10.1137/1.9780898719796

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3