Title: Data classification process for security and privacy based on a fuzzy logic classifier

Authors: Masoud Mohammadian, Dimitrios Hatzinakos

Addresses: Faculty of Information Science and Engineering, University of Canberra, Canberra, ACT, Zipcode 2606, Australia. ' Electrical and Computer Engineering, University of Toronto, M5S 2E4, Canada

Abstract: Data security and privacy are important issues in the success of a financial business operation. Implementing and applying policies related to data security and privacy, therefore, has become one of the core and important activities for large organisations. The data classification process can be laborious in large organisations with significant data to evaluate and categorise. By using a data classification process organisations can identify and apply appropriate policy and security settings such as private access control and encryption requirements. This paper explores the use of fuzzy logic in classification of data in organisations based on organisational data security and privacy needs and government policies imposed on data.

Keywords: data classification; data security; data privacy; fuzzy logic; access control; security policy; encryption; e-finance; electronic finance.

DOI: 10.1504/IJEF.2009.028977

International Journal of Electronic Finance, 2009 Vol.3 No.4, pp.374 - 386

Published online: 16 Oct 2009 *

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