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Developing an Empirical Relationship to Propose an Information Security Assurance Model for Collaborating Business Processes

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During the last few decades, organizations have re-engineered business processes on the back of digital data and computer networks. Recently, organizations are beginning to realize that increased accessibility, and productivity, carries a hidden cost of making the data more vulnerable in security breaches. It makes intuitive sense to incorporate information security into strategic decisionmaking during business process. Consequentially, companies are often enhanced sub-optimally retrofit security into their business processes in response to security breaches. The present investigation presents an information security risk analysis proactively conducted at an internationally well renowned business organization. The prime goal of the study was to propose an information security assurance model for collaborating business processes. The business processes have to handle sensitive information either in structured or unstructured forms that may be leaked by security flaws in business transactions. An empirical model of a risk based enhanced security for business processes is proposed with suitable metrics during the integration of the structured and unstructured information for business continuity. This research also describes the dynamic activation of appropriate safeguards; prevention and recovery from risks due to both the structured and unstructured information were considered. The expected business continuity (EBC) in business importance and attack security index is proposed from the standards towards the security compliances.

Keywords: ATTACK SEVERITY; BUSINESS CONTINUITY; COMPLIANCE; GENI TOOL; SECURITY ASSURANCE

Document Type: Research Article

Publication date: 01 February 2017

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  • Journal of Computational and Theoretical Nanoscience is an international peer-reviewed journal with a wide-ranging coverage, consolidates research activities in all aspects of computational and theoretical nanoscience into a single reference source. This journal offers scientists and engineers peer-reviewed research papers in all aspects of computational and theoretical nanoscience and nanotechnology in chemistry, physics, materials science, engineering and biology to publish original full papers and timely state-of-the-art reviews and short communications encompassing the fundamental and applied research.
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