A network attack detection system of OpenStack cloud platform based on Elastic Stack

Yu Chen; Congwang Kong; Jian Liu; Huimei Wang; Ming Xian

doi:10.1117/12.2634416

4 May 2022 A network attack detection system of OpenStack cloud platform based on Elastic Stack

Yu Chen, Congwang Kong, Jian Liu, Huimei Wang, Ming Xian

Proceedings Volume 12172, International Conference on Electronic Information Engineering and Computer Communication (EIECC 2021); 121720O (2022) https://doi.org/10.1117/12.2634416
Event: International Conference on Electronic Information Engineering and Computer Communication (EIECC 2021), 2021, Nanchang, China

Abstract

As an important platform to support cyberspace security technology verification, cyberspace attack and defense equipment performance testing, and cyberspace attack and defense rehearsal confrontation; the network security test platform plays an increasingly important role in the field of network security research. With the rapid development of cloud computing and big data, the network security test cloud platform shows the characteristics of explosive growth of data volume, among which the value of massive log data is particularly important. Through log analysis, abnormal events and behaviors can be found in a timely manner, but the traditional log detection technology appears to be incompetent for the analysis of massive log data, and the log detection and analysis technology based on Elastic Stack can realize real-time collection and retrieval of massive log data, and then realize effective detection and analysis of abnormal events in the network security test cloud platform.

Citation Download Citation

Yu Chen, Congwang Kong, Jian Liu, Huimei Wang, and Ming Xian "A network attack detection system of OpenStack cloud platform based on Elastic Stack", Proc. SPIE 12172, International Conference on Electronic Information Engineering and Computer Communication (EIECC 2021), 121720O (4 May 2022); https://doi.org/10.1117/12.2634416

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