POSET: Pattern Oriented Security Encryption Technique

5 Pages Posted: 17 Apr 2020

See all articles by Utsav Krishnatra

Utsav Krishnatra

SWINGER Lab,USICT, GGSIP University

Rahul Johari

SWINGER Lab,USICT, GGSIP University

Medha Chugh

SWINGER Lab,USICT, GGSIP University

Date Written: April 16, 2020

Abstract

Traditional symmetric-key cryptography has rarely used patterns for encryption process. In the era of information technology where data traffic is increasing at unprecedented rate, the amount of data being produced is growing immeasurably. There is a considerable risk that the data will be exploited for unethical purposes. There are various cryptographic techniques to ensure safety of data but the scope of search for new techniques is limitless and pattern based cryptography is one of the least explored area of research in the field of network security. When geometric shapes are considered, various properties uniquely pertaining to that shape can be used as parameters for encryption. In the proposed work, geometrical figures in certain orientation are used to encrypt the message. Starting from a very nascent state the work is structured using Two-Dimensional shapes such as square, triangle, star and hexagon to prepare the cipher. Each of the shapes have their own intrinsic quality. Here, specifically distinct number of vertices has been identified as centerpoint for cipher construction. Two layered encryptions have been done to make the algorithm more secure. Caesar Cipher encrypts the pattern at the primary level and devised method in the pertaining work at the secondary level.

Keywords: Cryptography Symmetric-Key Encryption Pattern Caesar Cipher Technique Hill Cipher technique Rail Fence Cipher Technique

Suggested Citation

Krishnatra, Utsav and Johari, Rahul and Chugh, Medha, POSET: Pattern Oriented Security Encryption Technique (April 16, 2020). Proceedings of the International Conference on Innovative Computing & Communications (ICICC) 2020, Available at SSRN: https://ssrn.com/abstract=3577537 or http://dx.doi.org/10.2139/ssrn.3577537

Utsav Krishnatra

SWINGER Lab,USICT, GGSIP University ( email )

Rahul Johari (Contact Author)

SWINGER Lab,USICT, GGSIP University ( email )

Medha Chugh

SWINGER Lab,USICT, GGSIP University ( email )

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Downloads
162
Abstract Views
815
Rank
461,984
PlumX Metrics