Vulnerability Analysis on the Cloud Network Topology

DOI

10.2991/icmmcce-15.2015.582How to use a DOI?

Keywords

Hadoop, Vulnerability Analysis, Network Topology.

Abstract

In recent years, cloud computing is developping rapidly, and many companies put much effort to set up their own private cloud or public cloud. However, structures of cloud network topology are not of the same quality, and many network builders are tend to ignore the vulnerability of network topology which brings hidden danger to network security. Based on the minimum cut frequency vector method, this paper puts forward a method to measure the vulnerability index of structures of cloud computing network topology and to analyze the topology of the Hadoop cloud platform. Experimental results show that the bigger the index is, the more vulnerable the topology is. While improvement methods based on our standard can effectively reduce the above index, thus making the entire network more robust and reliable.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Ke Chen
AU  - Hua Zhang
PY  - 2015/12
DA  - 2015/12
TI  - Vulnerability Analysis on the Cloud Network Topology
BT  - Proceedings of the 4th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering 2015
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmmcce-15.2015.582
DO  - 10.2991/icmmcce-15.2015.582
ID  - Chen2015/12
ER  -