A Theoretical Framework for Utilizing Data Warehousing to Predict Information Security Threats

Information security has experienced exponential growth and consideration in recent years. Information has become a major financial staple for organizations as it is a driving force for companies to increase revenues or significantly reduce expenses. Many organizations have implemented information security countermeasures to detect, minimize and defend against information security threats, or breaches. Most of these countermeasures have traditionally adopted a passive approach to securing corporate data. This paper proposes a theoretical framework for utilizing an information security data warehouse to identify security breach patterns, in order to predict when potential breaches are most likely to occur, thus taking a more proactive approach to securing information assets.

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Provided by:
International Association for Computer Information Systems (IACIS)
Data Management