Research on Security Defense Methods for Big Data Centers

Abstract

By integrating and analyzing massive amounts of data, big data centers can effectively address key issues in multiple fields. However, as the scale and importance of big data centers continue to grow, security issues such as high-risk vulnerabilities exposed due to inadequate security configurations in physical computing facilities, malicious attacks stemming from lax access control at cloud boundaries, effectiveness issues in virtual resource isolation, and insufficient security protection measures for cloud platforms have become increasingly prominent. Based on the existing big data center architecture, this paper designs a security protection framework from four dimensions: physical computing facilities, cloud boundary access zones, cloud tenant zones, and cloud platforms. It integrates security protection functions and measures based on traffic analysis, including access control and risk assessment.