activity
20172022
most citedUnified Host and Network Data Set

2 citations · 6 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CR2022★ 2 cited

Radial Spike and Slab Bayesian Neural Networks for Sparse Data in Ransomware Attacks

Jurijs Nazarovs, Jack W. Stokes, Melissa Turcotte +2

Ransomware attacks are increasing at an alarming rate, leading to large financial losses, unrecoverable encrypted data, data leakage, and privacy concerns. The prompt detection of…

stat.ME2021★ 2 cited

Changepoint detection on a graph of time series

Karl L. Hallgren, Nicholas A. Heard, Melissa J. M. Turcotte

When analysing multiple time series that may be subject to changepoints, it is sometimes possible to specify a priori, by means of a graph, which pairs of time series are likely to…

stat.AP2020

Graph link prediction in computer networks using Poisson matrix factorisation

Francesco Sanna Passino, Melissa J. M. Turcotte, Nicholas A. Heard

Graph link prediction is an important task in cyber-security: relationships between entities within a computer network, such as users interacting with computers, or system librarie…

cs.CR2017★ 2 cited

Unified Host and Network Data Set

Melissa J. M. Turcotte, Alexander D. Kent, Curtis Hash

The lack of data sets derived from operational enterprise networks continues to be a critical deficiency in the cyber security research community. Unfortunately, releasing viable d…

stat.AP2017

Detecting periodic subsequences in cyber security data

Matthew Price-Williams, Nick Heard, Melissa Turcotte

Statistical approaches to cyber-security involve building realistic probability models of computer network data. In a data pre-processing phase, separating automated events from th…