Research on the Improvement of Cybersecurity Early Warning Systems Based on Cloud Computing Platforms
Wenqi Kou, Guiqiang Zhang, Yan Chi · 2024
The meteoric rise of cloud computing has fundamentally transformed the application and service models of information technology. On one hand, cloud computing offers enterprises and individuals unprecedented computational resources and storage capabilities, significantly enhancing operational efficiency and data processing capacities. Conversely, the accompanying threats to network security have become increasingly severe, with both complexity and scale of attacks continuously escalating. Consequently, the establishment of an efficient network security early warning system has emerged as a critical challenge that demands urgent attention. In this context, the research of a network security early warning system based on cloud computing platforms not only fully exploits their formidable computational and storage resources but also ensures the timeliness and accuracy of security alerts, thereby possessing both practical significance and immense theoretical value. The pressing question is how to construct a high-efficiency and stable network security early warning system atop the existing cloud platform architecture to combat the growing network threats and safeguard data integrity and the stable operation of systems.