Classification of Data Based on a Fuzzy Logic System

    Research output: A Conference proceeding or a Chapter in BookConference contribution

    3 Citations (Scopus)
    3 Downloads (Pure)

    Abstract

    Data security and privacy are very important issues in the success of a business operation. Implementing and applying policies related to data security and privacy therefore has become one of the core and important activities for large organizations. Data classification process allows companies to organize their data according to their needs. This process can be laborious in large organizations with significant content to evaluate and categorize. Using a data classification process organizations can identify and apply appropriate setting and polices such as private access control and encryption requirements only to the relevant data thereby saving time and processing power. This paper explores the use of fuzzy logic in classification of data and suggests a method that can determine requirements for data security and privacy in an organization based on organizations needs and government policies imposed on data. A case study is considered to present the effectiveness of the proposed method
    Original languageEnglish
    Title of host publicationInternational Conference on Computational Intelligence for modelling , Control and Automation
    EditorsMasoud Mohammadian
    Place of PublicationUnited States
    PublisherIEEE, Institute of Electrical and Electronics Engineers
    Pages1288-1293
    Number of pages6
    ISBN (Print)9780769535142
    Publication statusPublished - 2008
    EventInternational Conference on Computational Intelligence for modelling , Control and Automation - Vienna, Austria
    Duration: 10 Dec 200812 Dec 2008

    Conference

    ConferenceInternational Conference on Computational Intelligence for modelling , Control and Automation
    CountryAustria
    CityVienna
    Period10/12/0812/12/08

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    Cite this

    Mohammadian, M. (2008). Classification of Data Based on a Fuzzy Logic System. In M. Mohammadian (Ed.), International Conference on Computational Intelligence for modelling , Control and Automation (pp. 1288-1293). United States: IEEE, Institute of Electrical and Electronics Engineers.