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Title: Frequent pattern mining for parameterised automatic variable key-based cryptosystems

Authors: Shaligram Prajapat

Addresses: International Institute of Professional Studies, Devi Ahilya University, India

Abstract: Huge amount of information is exchanged electronically in most enterprises and organisations. In particular, in all financial and e-business set ups the amount of data stored or exchanged is growing enormously over public network among variety of computing devices. Securing this gargantuan sized input is challenging. This paper provides a framework for securing information exchange using parametric approaches with AVK approach and investigating strength of this cryptosystem using mining algorithms on symmetric key-based cryptosystem. This work demonstrates association rule application as one of the component of cryptic mining system used to process the encrypted data for extracting use full patterns and association. The degree of identified patterns may be use full to rank the degree of safety and class of cryptic algorithm, during auditing of security algorithms.

Keywords: mining algorithms; symmetric key cryptography; automatic variable key; AVK.

DOI: 10.1504/IJBIDM.2020.103850

International Journal of Business Intelligence and Data Mining, 2020 Vol.16 No.1, pp.33 - 48

Accepted: 19 May 2017
Published online: 12 Nov 2019 *

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