ENHANCING CYBER SECURITY AND NETWORK RESILIENCE IN MODERN DATA CENTERS: QUESTIONNAIRE BASED RESEARCH

Abstract

The rapid speed of the current data center evolution has substantially enhanced the risk of cybersecurity and exerted the necessity to deploy complex solutions that will provide the network with endurance and competency to the transformed cybercrime. In the framework of the current paper, the authors will comment on how to improve cybersecurity and network resiliency in the contemporary data centers through the use of intelligent monitoring infrastructure. The questionnaire survey was constructed and 50 survey questionnaires interviewed that included cybersecurity professionals, IT professionals and data center practitioners. The important factors obtained were ranked in a Relative Importance Index (RII) and the Analytic Hierarchy Process (AHP) was used to estimate the weight of importance of the items as well as Cronbach Alpha was used to estimate the reliability of the questionnaire. The findings show that Machine Learning Capability (RII = 0.89; AHP weight = 0.34) and then Telemetry Quality and Incident Response Automation are the most relevant. Anomaly detection and real-time monitoring may be seen as the most important of all the sub-factors of effective cybersecurity systems. The AHP consistency test allowed proving that all the pair-wise comparisons were stable (CR less than 0.10) and the test of reliability showed that the overall internal consistency of the data was high (the total Cronbachs Alpha = 0.87). The findings suggest that the traditional modalities of delivering the security are surely becoming the AI-driven, automated and data-driven based surveillance systems that can significantly contribute to the improved efficiency of the threat detection, the effectiveness and the performance of the response, and the stability of the system. The researchers and practitioners can find the paper helpful since it has pointed significant areas of concern that can be refined in order to enhance cybersecurity in the data centers and give valuable recommendations on how to establish intelligent monitoring systems.