A Proposal on Adaptation of Big Data Analytics Framework in Nuclear Security toward Development of Integrated, Real-Time and Intelligent Nuclear Security System

The emerging technology commonly referred to as ''Big Data Analytics'' which denoted as a new way of collecting and analyzing large amount of data to support decision making has a big potential in enhancing the security system in Nuclear Sector. Research finding indicates that integrated data management and associated analytic software tools are not being used extensively for security applications in the nuclear sector. Currently, most information and data in nuclear security applications are managed in silos both within and between organizations which resulted in many of current data management systems for nuclear security system are suboptimal hence cannot provide support to improve security decision and control. This paper aims to propose a big data analytics framework that might be used or useful as a guideline process to integrate security related data and analyze it towards providing better security decision and control. Integrating information that is traditionally owned by the security department with other information held by other related department in the organization could improve security decision and control for the Nuclear Organization. The framework can be used to set a foundation for the development of an integrated, real-time and intelligent security system for Nuclear Organization. (author)