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@inproceedings{Whitehouse:2016:10.1109/ISI.2016.7745483,
author = {Whitehouse, M and Evangelou, M and Adams, N},
doi = {10.1109/ISI.2016.7745483},
publisher = {IEEE},
title = {Activity-based temporal anomaly detection in enterprise-cyber security},
url = {http://dx.doi.org/10.1109/ISI.2016.7745483},
year = {2016}
}

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TY  - CPAPER
AB  - Statistical anomaly detection is emerging as animportant complement to signature-based methods for enterprisenetwork defence. In this paper, we isolate a persistent structurein two different enterprise network data sources. This structureprovides the basis of a regression-based anomaly detectionmethod. The procedure is demonstrated on a large public domaindata set.
AU  - Whitehouse,M
AU  - Evangelou,M
AU  - Adams,N
DO  - 10.1109/ISI.2016.7745483
PB  - IEEE
PY  - 2016///
TI  - Activity-based temporal anomaly detection in enterprise-cyber security
UR  - http://dx.doi.org/10.1109/ISI.2016.7745483
UR  - http://hdl.handle.net/10044/1/39983
ER  -

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