Imperial College London

Professor Nick Heard

Faculty of Natural SciencesDepartment of Mathematics

Chair in Statistics
 
 
 
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Contact

 

+44 (0)20 7594 1490n.heard Website

 
 
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Location

 

543Huxley BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Metelli:2019:10.1214/19-AOAS1286,
author = {Metelli, S and Heard, N},
doi = {10.1214/19-AOAS1286},
journal = {Annals of Applied Statistics},
pages = {2586--2610},
title = {On Bayesian new edge prediction and anomaly detection in computer networks},
url = {http://dx.doi.org/10.1214/19-AOAS1286},
volume = {13},
year = {2019}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - Monitoring computer network traffic for anomalous behaviourpresents an important security challenge. Arrivals of new edges in anetwork graph represent connections between a client and server pairnot previously observed, and in rare cases these might suggest thepresence of intruders or malicious implants. We propose a Bayesianmodel and anomaly detection method for simultaneously characterising existing network structure and modelling likely new edge formation. The method is demonstrated on real computer network authentication data and successfully identifies some machines which areknown to be compromised.
AU - Metelli,S
AU - Heard,N
DO - 10.1214/19-AOAS1286
EP - 2610
PY - 2019///
SN - 1932-6157
SP - 2586
TI - On Bayesian new edge prediction and anomaly detection in computer networks
T2 - Annals of Applied Statistics
UR - http://dx.doi.org/10.1214/19-AOAS1286
UR - https://projecteuclid.org/euclid.aoas/1574910056
UR - http://hdl.handle.net/10044/1/71942
VL - 13
ER -