Collective information structure model for Information Security Risk Assessment (ISRA)

Purpose – Information security has become an essential entity for organizations across the globe to eliminate the possible risks in their organizations by conducting information security risk assessment (ISRA). However, the existence of numerous different types of risk assessment methods, standards,...

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Bibliographic Details
Main Authors: Siva Shamala, Palaniappan, Ahmad, Rabiah, Zolait, Ali Hussein, Sahib, Shahrin
Format: Article
Published: Emerald 2015
Subjects:
Online Access:http://dx.doi.org/10.1108/JSIT-02-2015-0013
http://dx.doi.org/10.1108/JSIT-02-2015-0013
http://eprints.uthm.edu.my/6992/1/p._siva_shamala_U.pdf
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Summary:Purpose – Information security has become an essential entity for organizations across the globe to eliminate the possible risks in their organizations by conducting information security risk assessment (ISRA). However, the existence of numerous different types of risk assessment methods, standards, guidelines and specifications readily available causes the organizations to face the daunting tasks in determining the most suitable method that would augur well in meeting their needs. Therefore, to overcome this tedious process, this paper suggests collective information structure model for ISRA. Design/methodology/approach – The proposed ISRA model was developed by deploying a questionnaire using close-ended questions administrated to a group of information security practitioners in Malaysia (N=80). The purpose of the survey was to strengthen and add more relevant additional features to the existing framework, as it was developed based on secondary data. Findings – Previous comparative and analyzed studies reveals that all the six types of ISRA methodologies have features of the same kind of information with a slight difference in form. Therefore, questionnaires were designed to insert additional features to the research framework. All the additional features chosen were based on high frequency of more than half percentage agreed responses from respondents. The analyses results inspire in generating a collective information structure model which more practical in the real environment of the workplace.