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Data security in information systems by language analysis.

H P Meinzer, B Sandblad

    Computer Programs in Biomedicine
    |September 1, 1979
    PubMed
    Summary
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    This study introduces a language analyzer (parser) as a user interface for information systems. It restricts users to a specific sublanguage, enhancing security and usability by guiding them through allowed functions.

    Area of Science:

    • Computer Science
    • Information Science
    • Human-Computer Interaction

    Background:

    • Traditional information systems often present complex interfaces to users.
    • Restricting user interaction to predefined functions can improve system efficiency and security.
    • Developing adaptable interfaces that cater to specific user needs is crucial.

    Purpose of the Study:

    • To present a novel approach for user interface design in information systems using a language analyzer.
    • To demonstrate how a sublanguage analyzer can enhance user experience and system security.
    • To explore the automatic generation of language analyzers based on functional definitions.

    Main Methods:

    • Implementation of a language analyzer (parser) as an interface between users and information system functions.

    Related Experiment Videos

  • Enforcing user access to a restricted sublanguage upon system log-on.
  • Developing a mechanism to reject non-allowed functions and guide users within their sublanguage.
  • Defining the language analyzer independently of the information system's semantics.
  • Main Results:

    • Users are confined to a sublanguage tailored to their specific needs and permissions.
    • The system effectively rejects and redirects attempts to access unauthorized functions.
    • The language analyzer can be automatically generated from a definition of language functions, promoting modularity.

    Conclusions:

    • The proposed language analyzer serves as an effective interface, enhancing security and usability in information systems.
    • Separating the language analyzer from system semantics allows for greater flexibility and easier maintenance.
    • Automatic generation of the analyzer facilitates its adaptation to diverse functional requirements.