Data Classification Process for Security and Privacy Based on a Fuzzy Logic Classifier

Masoud Mohammadian, Dimitrios Hatzinakos

    Research output: Contribution to journalArticlepeer-review

    22 Citations (Scopus)

    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.
    Original languageEnglish
    Pages (from-to)374-386
    Number of pages13
    JournalInternational Journal of Electronic Finance
    Volume3
    Issue number4
    DOIs
    Publication statusPublished - 2009

    Fingerprint

    Dive into the research topics of 'Data Classification Process for Security and Privacy Based on a Fuzzy Logic Classifier'. Together they form a unique fingerprint.

    Cite this