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01/06/2023
Unsupervised attack pattern detection in honeypot data using Bayesian topic modelling
Cyber-systems are under near-constant threat from intrusion attempts. At...
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11/09/2021
Changepoint detection in non-exchangeable data
Changepoint models typically assume the data within each segment are ind...
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07/04/2021
Latent structure blockmodels for Bayesian spectral graph clustering
Spectral embedding of network adjacency matrices often produces node rep...
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02/11/2021
Mutually exciting point process graphs for modelling dynamic networks
A new class of models for dynamic networks is proposed, called mutually ...
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02/08/2021
Changepoint detection on a graph of time series
When analysing multiple time series that may be subject to changepoints,...
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11/09/2020
Spectral clustering on spherical coordinates under the degree-corrected stochastic blockmodel
Spectral clustering is a popular method for community detection in netwo...
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01/26/2020
Graph link prediction in computer networks using Poisson matrix factorisation
Graph link prediction is an important task in cyber-security: relationsh...
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12/22/2019
Link prediction in dynamic networks using random dot product graphs
The problem of predicting links in large networks is a crucial task in a...
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04/06/2019