Joshua Neil

21 papers A 3B 1Misc 1Journal 12Unranked 4
YearRankTypeTitle / Venue / Authors
2022 J jnl
Anomaly Detection in Large-Scale Networks With Latent Space Models.
Technometrics
Wesley Lee, Tyler H. McCormick, Joshua Neil, Cole Sodja, Yanran Cui
2022 J jnl
Peer-group Behaviour Analytics of Windows Authentications Events Using Hierarchical Bayesian Modelling.
CoRR
Iwona Hawryluk, Henrique Hoeltgebaum, Cole Sodja, Tyler Lalicker, Joshua Neil
2021 — conf
A Large-Scale Database for Graph Representation Learning.
NeurIPS Datasets and Benchmarks
Scott Freitas, Yuxiao Dong, Joshua Neil, Duen Horng Chau
2021 A conf
Living-Off-The-Land Command Detection Using Active Learning.
RAID
Talha Ongun, Jack W. Stokes, Jonathan Bar Or, Ke Tian, Farid Tajaddodianfar, Joshua Neil, Christian Seifert, Alina Oprea, John C. Platt
2021 J jnl
Living-Off-The-Land Command Detection Using Active Learning.
CoRR
Talha Ongun, Jack W. Stokes, Jonathan Bar Or, Ke Tian, Farid Tajaddodianfar, Joshua Neil, Christian Seifert, Alina Oprea, John C. Platt
2020 J jnl
A Large-Scale Database for Graph Representation Learning.
CoRR
Scott Freitas, Yuxiao Dong, Joshua Neil, Duen Horng Chau
2020 A conf
D
SDM
Scott Freitas, Andrew Wicker, Duen Horng (Polo) Chau, Joshua Neil
2020 J jnl
D2M: Dynamic Defense and Modeling of Adversarial Movement in Networks.
CoRR
Scott Freitas, Andrew Wicker, Duen Horng Chau, Joshua Neil
2020 A conf
Effective Detection of Credential Thefts from Windows Memory: Learning Access Behaviours to Local Security Authority Subsystem Service.
RAID
Patrick Ah-Fat, Michael Huth, Rob Mead, Tim Burrell, Joshua Neil
2019 J jnl
Anomaly Detection in Large Scale Networks with Latent Space Models.
CoRR
Wesley Lee, Tyler H. McCormick, Joshua Neil, Cole Sodja
2019 Misc conf
Detecting Cyber Attacks Using Anomaly Detection with Explanations and Expert Feedback.
ICASSP
Md Amran Siddiqui, Jack W. Stokes, Christian Seifert, Evan Argyle, Robert McCann, Joshua Neil, Justin Carroll
2016 J jnl
A Likelihood Ratio Detector for Identifying Within-Perimeter Computer Network Attacks.
CoRR
Justin Grana, David H. Wolpert, Joshua Neil, Dongping Xie, Tanmoy Bhattacharya, Russell Bent
2016 J jnl
A likelihood ratio anomaly detector for identifying within-perimeter computer network attacks.
J. Netw. Comput. Appl.
Justin Grana, David H. Wolpert, Joshua Neil, Dongping Xie, Tanmoy Bhattacharya, Russell Bent
2015 J jnl
Attack chain detection.
Stat. Anal. Data Min.
Joseph Sexton, Curtis B. Storlie, Joshua Neil
2014 — conf
Connected Components and Credential Hopping in Authentication Graphs.
SITIS
Aric A. Hagberg, Nathan Lemons, Alexander D. Kent, Joshua Neil
2014 B conf
Detecting Localised Anomalous Behaviour in a Computer Network.
IDA
Melissa J. Turcotte, Nicholas A. Heard, Joshua Neil
2013 J jnl
Scan Statistics for the Online Detection of Locally Anomalous Subgraphs.
Technometrics
Joshua Neil, Curtis L. Hash Jr., Alexander Brugh, Mike Fisk, Curtis B. Storlie
2013 — conf
Web Adoption: An Attempt Toward Classifying Risky Internet Web Browsing Behavior.
LASER
Alexander D. Kent, Lorie M. Liebrock, Joshua Neil
2011 J jnl
Graph-based malware detection using dynamic analysis.
J. Comput. Virol.
Blake Anderson, Daniel Quist, Joshua Neil, Curtis B. Storlie, Terran Lane
2011 J jnl
Improving antivirus accuracy with hypervisor assisted analysis.
J. Comput. Virol.
Daniel Quist, Lorie M. Liebrock, Joshua Neil
2002 — conf
Eliminating Steganography in Internet Traffic with Active Wardens.
Information Hiding
Gina Fisk, Mike Fisk, Christos Papadopoulos, Joshua Neil