Towards generating a data integrity standard

Moshe Zviran, Chanan Glezer

Research output: Contribution to journalArticlepeer-review


The tremendous growth in size, complexity and value of the organization's data resources has given rise to an urgent need for a data integrity standard that will provide a consensus definition, a common measure and a set of tools for evaluating the various models and mechanisms in this domain. This paper attempts to pave the way for such a data integrity standard. It discusses various definitions of data integrity and indicates the one that best serves as a common definition. It then provides a description and assessment of two prominent data integrity models: the Biba model, and the Clark-Wilson model. Next, a framework for evaluating these models is proposed and operationalized. The final section discusses conclusions and makes some practical recommendations that derive from the comparison of the models.

Original languageEnglish
Pages (from-to)291-313
Number of pages23
JournalData and Knowledge Engineering
Issue number3
StatePublished - Mar 2000
Externally publishedYes


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