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

Author

Listed:
  • Masoud Mohammadian
  • Dimitrios Hatzinakos

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.

Suggested Citation

  • Masoud Mohammadian & Dimitrios Hatzinakos, 2009. "Data classification process for security and privacy based on a fuzzy logic classifier," International Journal of Electronic Finance, Inderscience Enterprises Ltd, vol. 3(4), pages 374-386.
    • Handle: RePEc:ids:ijelfi:v:3:y:2009:i:4:p:374-386
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