Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Selection of Optimum Nonlinear Confusion Component of Information Confidentiality Mechanism Using Grey Theory Based Decision-Making Technique

Version 1 : Received: 18 December 2021 / Approved: 20 December 2021 / Online: 20 December 2021 (12:15:29 CET)

How to cite: Abughazalah, N.H.; Khan, M. Selection of Optimum Nonlinear Confusion Component of Information Confidentiality Mechanism Using Grey Theory Based Decision-Making Technique. Preprints 2021, 2021120310 (doi: 10.20944/preprints202112.0310.v1). Abughazalah, N.H.; Khan, M. Selection of Optimum Nonlinear Confusion Component of Information Confidentiality Mechanism Using Grey Theory Based Decision-Making Technique. Preprints 2021, 2021120310 (doi: 10.20944/preprints202112.0310.v1).

Abstract

In this age of internet communication, the security of digital information is one of the main issues. The privacy of data depends upon the encryption using some secure algorithm. The selection of robust cryptosystems to ensure confidentiality is a major concern to decrease the risk of cryptographic attacks. In this article, we have implemented a grey theory-based decision-making technique for the election of a robust cryptosystem that complies with all the cryptographic parameters. Six different already proposed encryption algorithms are selected as the alternatives of the decision-making problem and the parameters concerned for the decision are entropy, correlation coefficient, the number of pixels changing rate (NPCR), unified average changing intensity (UACI). The algorithm ranked as first by using grey-based decision-making method can be utilized for secure data encryption.

Keywords

Grey theory; Grey set; MCDM; Decision making problem; Cryptosystem; Encryption algorithm

Subject

MATHEMATICS & COMPUTER SCIENCE, Applied Mathematics

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