Comprehensive Risk Evaluation Model for Data Center Security Risk Assessment
Sayed Shoaib Hussaini, Budi Raharjo · 2024
Data centers play a crucial role in modern organizations by storing and processing large volumes of sensitive information. However, the evolving threat landscape and the increasing sophistication of cyberattacks pose significant security challenges to data centers. To ensure the integrity and availability of critical data, this research endeavors to address this pressing need by proposing a cutting-edge Comprehensive Risk Evaluation Model (CREM). By systematically assessing and mitigating the various dimensions of risk associated with data centers, CREM aims to redefines risk assessment through its dynamic, iterative framework, where ongoing recursive loops constantly find threats, examine events, and assess vulnerabilities. The study involves a comprehensive literature review, basic related concepts, methodology and development of risk evaluation model architecture that addresses the identified gaps. The model incorporates modules for threat source identification, threat event analysis, risk assessment, vulnerability scanning, risk impact analysis, threat level identification and control evaluation process. This research aims to enhance security practices, enabling proactive risk identification and mitigation. The findings contribute to the field of data center security and offer practical guidelines for improving security posture.