Abstract
To improve hardware utilization and save manpower in system maintenance, most of the web services in IHEP have been migrated to a private cloud build upon OpenStack. However, cyber security attacks becomes a serious threats to the cloud progressively. Therefore, a cyber security detection and monitoring system is deployed for this cloud platform. This system collects various security related logs as data sources, and processes them in a framework composed of open source data store, analysis and visualization tools. With this system, security incidents and events can be handled in time and rapid response can be taken to protect cloud platform against cyber security threats.
Highlights
In recent years, cloud computing becomes more and more popular in operation of High Energy Physics (HEP) data centers [1, 2]
At Institute of High Energy Physics (IHEP), China, we deployed a cloud platform for elastic batch job scheduling and another platform for hosting public web services
During the operation and maintenance of this cloud platform for web services, we find that cyber security attacks becomes more and more frequent
Summary
Cloud computing becomes more and more popular in operation of High Energy Physics (HEP) data centers [1, 2]. During the operation and maintenance of this cloud platform for web services, we find that cyber security attacks becomes more and more frequent. This is a serious threat to the cloud platform. Based on an analysis of the security threats, we setup a security risk control model In this model, a detection and monitoring system plays an important role. Malicious behaviors and attacks can be detected and visualized This model allows the security status of the cloud platform to be monitored effectively.
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