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A Distributed and Autonomous Guard System Based on Cloud Environments
Conference paper

A Distributed and Autonomous Guard System Based on Cloud Environments

Wei-Fa Liao, Hung-Min Sun and Wei Wu
Proceedings - 2016 IEEE 14th International Conference on Dependable, Autonomic and Secure Computing, DASC 2016, 2016 IEEE 14th International Conference on Pervasive Intelligence and Computing, PICom 2016, 2016 IEEE 2nd International Conference on Big Data Intelligence and Computing, DataCom 2016 and 2016 IEEE Cyber Science and Technology Congress, CyberSciTech 2016, DASC-PICom-DataCom-CyberSciTech 2016, pp.917-920
10/2016

Abstract

Cloud computing Intrusion detection virtual Computer Vision and Pattern Recognition Information Systems Computer Science (miscellaneous) Artificial Intelligence Computer Networks and Communications
In recent years, Cloud computing has become increasingly popular. Many companies have replaced traditional hosting to cloud hosting. Cloud providers are responsible for tenant isolation, if a tenant (virtual machine) is infected, other tenants will be affected. Because the virtual network environment is very complex, the traditional intrusion detection systems can only detect attacks from external networks, but can not effectively detect the internal traffic (virtual network). In order to full defend from a threat, we need to redesign the architecture of the intrusion detection system. In this thesis, we propose a flexible distributed architecture for intrusion detection, and uses software-defined networking technology for defensive purposes. In addition, our system collects alerts from different nodes, and analyzes their correlation to generate security rules to achieve the effect of a joint defense. To make the administrator more effective in management purposes, we also provide a web-based management center to reduce the burden on administrators. Finally, we analyze the performance of the proposed system with an original system. The results show that our system adds slightly overhead, and it can effectively block the malicious flow.

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