Data classification process for security and privacy based on a fuzzy logic classifier
Masoud Mohammadian and
Dimitrios Hatzinakos
International Journal of Electronic Finance, 2009, vol. 3, issue 4, 374-386
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. (search for similar items in EconPapers)
Date: 2009
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Persistent link: https://EconPapers.repec.org/RePEc:ids:ijelfi:v:3:y:2009:i:4:p:374-386
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