Traffic-Based Credit Network Management System

DOI

10.2991/iccsee.2013.147How to use a DOI?

Keywords

component, network credit management, Cernet2, credit score, statistics,

Abstract

With the rapid development of Internet, some bad behaviors such as network attack and bandwidth abuse become more and more serious, result in wasting the limited resources of network. Cernet2, the experimental IPV6 network, is suffering from the shortage of monitoring resources, so how to maximize the utilization of the limited resources is an urgent problem. In this paper, we propose the traffic-based network credit management system. According to the credit status of each node, we can apply the appropriate monitoring force. We firstly capture the traffic of Cernet2 by NetFlow, and use statistical methods to identify network bad behaviors. Then assign each node a credit score. Finally, display the credit status and corresponding statistical analysis of each node on the credit management website in real time.

Copyright

© 2013, 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  - Yizhe Zhang
AU  - Jilong Wang
AU  - Haizhuo Lin
PY  - 2013/03
DA  - 2013/03
TI  - Traffic-Based Credit Network Management System
BT  - Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
PB  - Atlantis Press
SP  - 574
EP  - 577
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccsee.2013.147
DO  - 10.2991/iccsee.2013.147
ID  - Zhang2013/03
ER  -