A Framework of Evaluation Methodologies for Network Anomaly Detectors
Authors
Xin Zhao, Yekui Qian, Changsheng Wang
Corresponding Author
Xin Zhao
Available Online May 2014.
- DOI
- 10.2991/iccia.2012.175How to use a DOI?
- Keywords
- emulation, framework, anomaly detector, netflow, flow matrix
- Abstract
Anomaly detection has been a field of intensive research over the last years. Along with that several works to evaluate anomaly detectors have been proposed. In this paper we argue four properties regarding ideal evaluation methodologies that cannot be answered by single current evaluation technique employed today. We therefore present an framework of an evaluation methodology that leverages traces from operational networks, simulation and emulation to satisfy the four properties.
- 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/).
Cite this article
TY - CONF AU - Xin Zhao AU - Yekui Qian AU - Changsheng Wang PY - 2014/05 DA - 2014/05 TI - A Framework of Evaluation Methodologies for Network Anomaly Detectors BT - Proceedings of the 2012 2nd International Conference on Computer and Information Application (ICCIA 2012) PB - Atlantis Press SP - 729 EP - 732 SN - 1951-6851 UR - https://doi.org/10.2991/iccia.2012.175 DO - 10.2991/iccia.2012.175 ID - Zhao2014/05 ER -