Analytical Techniques for Decision Making on Information Security for Big Data Breaches

Aiiad Albeshri () and Vijey Thayananthan
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Aiiad Albeshri: Department of Computer Science, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah 21589, Kingdom of Saudi Arabia
Vijey Thayananthan: Department of Computer Science, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah 21589, Kingdom of Saudi Arabia

International Journal of Information Technology & Decision Making (IJITDM), 2018, vol. 17, issue 02, 527-545

Abstract: In the big data processes, management and analytics are primary areas where we can introduce the decision making on information security to mitigate the big data breaches. According to the growing number of online systems and big data handling, mitigating the big data breaches is the serious problem during the processing period which needs to be monitored using appropriate technique. The goal of this research is to prevent the big data breaches using correct decision making based on information security concepts such as access control with authentication which depend on the management policies. The analytical approach of information security solution can also be useful for securing the big data infrastructure and key management that improve the big data breaches. As an analytical method, information security which focuses on detecting and securing the big data breaches is considered with access control. Here, we have introduced the multi-priority model influenced with the network calculus and access control which monitors the breaches during the big data processing. In the results and analysis, we can provide a graph which shows the monitoring improvement for decision making during the mitigation of big data breaches.

Keywords: Analytical techniques; big-data breaches; decision making; information security; service rate (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (2)

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DOI: 10.1142/S0219622017500432

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