Data Center Security Analysis Based on The Principle of Defense-In-Depth with Fuzzy Clustering

Abstract

In the modern era, data centers play a crucial role in information systems, serving as the primary repositories for users' data. Ensuring the security of these data centers is paramount, given their role in facilitating seamless access to information from any location. This paper introduces a novel approach to assessing data center security through the application of the Defence-in-Depth principle, employing fuzzy clustering techniques. The proposed model quantifies security by analysing various layers of defence mechanisms within a data center, demonstrating how different security measures contribute to overall system robustness. Our methodology is validated through a case study, which highlights the effectiveness of layered security strategies in mitigating potential threats. Additionally, the paper discusses the integration of attack graphs and fuzzy logic to enhance the visualization and evaluation of security postures. The results underscore the importance of adopting comprehensive, multi-layered defences to safeguard critical data center infrastructure.