Joshua Neil

Publication Activity (10 Years)

Years Active: 2002-2022
Publications (10 Years): 13

Top Topics

Likelihood Ratio

Network Attacks

Top Venues

Publications

Iwona Hawryluk, Henrique Hoeltgebaum, Cole Sodja, Tyler Lalicker, Joshua Neil
Peer-group Behaviour Analytics of Windows Authentications Events Using Hierarchical Bayesian Modelling. CoRR (2022)
Wesley Lee, Tyler H. McCormick, Joshua Neil, Cole Sodja, Yanran Cui
Anomaly Detection in Large-Scale Networks With Latent Space Models. Technometrics 64 (2) (2022)
Talha Ongun, Jack W. Stokes, Jonathan Bar Or, Ke Tian, Farid Tajaddodianfar, Joshua Neil, Christian Seifert, Alina Oprea, John C. Platt
Living-Off-The-Land Command Detection Using Active Learning. RAID (2021)
Talha Ongun, Jack W. Stokes, Jonathan Bar Or, Ke Tian, Farid Tajaddodianfar, Joshua Neil, Christian Seifert, Alina Oprea, John C. Platt
Living-Off-The-Land Command Detection Using Active Learning. CoRR (2021)
Scott Freitas, Yuxiao Dong, Joshua Neil, Duen Horng Chau
A Large-Scale Database for Graph Representation Learning. NeurIPS Datasets and Benchmarks (2021)
Scott Freitas, Yuxiao Dong, Joshua Neil, Duen Horng Chau
A Large-Scale Database for Graph Representation Learning. CoRR (2020)
Scott Freitas, Andrew Wicker, Duen Horng (Polo) Chau, Joshua Neil
M: Dynamic Defense and Modeling of Adversarial Movement in Networks. SDM (2020)
Scott Freitas, Andrew Wicker, Duen Horng Chau, Joshua Neil
D2M: Dynamic Defense and Modeling of Adversarial Movement in Networks. CoRR (2020)
Patrick Ah-Fat, Michael Huth, Rob Mead, Tim Burrell, Joshua Neil
Effective Detection of Credential Thefts from Windows Memory: Learning Access Behaviours to Local Security Authority Subsystem Service. RAID (2020)
Wesley Lee, Tyler H. McCormick, Joshua Neil, Cole Sodja
Anomaly Detection in Large Scale Networks with Latent Space Models. CoRR (2019)
Md Amran Siddiqui, Jack W. Stokes, Christian Seifert, Evan Argyle, Robert McCann, Joshua Neil, Justin Carroll
Detecting Cyber Attacks Using Anomaly Detection with Explanations and Expert Feedback. ICASSP (2019)
Justin Grana, David H. Wolpert, Joshua Neil, Dongping Xie, Tanmoy Bhattacharya, Russell Bent
A likelihood ratio anomaly detector for identifying within-perimeter computer network attacks. J. Netw. Comput. Appl. 66 (2016)
Justin Grana, David H. Wolpert, Joshua Neil, Dongping Xie, Tanmoy Bhattacharya, Russell Bent
A Likelihood Ratio Detector for Identifying Within-Perimeter Computer Network Attacks. CoRR (2016)
Joseph Sexton, Curtis B. Storlie, Joshua Neil
Attack chain detection. Stat. Anal. Data Min. 8 (5-6) (2015)
Melissa J. Turcotte, Nicholas A. Heard, Joshua Neil
Detecting Localised Anomalous Behaviour in a Computer Network. IDA (2014)
Aric A. Hagberg, Nathan Lemons, Alexander D. Kent, Joshua Neil
Connected Components and Credential Hopping in Authentication Graphs. SITIS (2014)
Joshua Neil, Curtis L. Hash Jr., Alexander Brugh, Mike Fisk, Curtis B. Storlie
Scan Statistics for the Online Detection of Locally Anomalous Subgraphs. Technometrics 55 (4) (2013)
Alexander D. Kent, Lorie M. Liebrock, Joshua Neil
Web Adoption: An Attempt Toward Classifying Risky Internet Web Browsing Behavior. LASER (2013)
Blake Anderson, Daniel Quist, Joshua Neil, Curtis B. Storlie, Terran Lane
Graph-based malware detection using dynamic analysis. J. Comput. Virol. 7 (4) (2011)
Daniel Quist, Lorie M. Liebrock, Joshua Neil
Improving antivirus accuracy with hypervisor assisted analysis. J. Comput. Virol. 7 (2) (2011)
Gina Fisk, Mike Fisk, Christos Papadopoulos, Joshua Neil
Eliminating Steganography in Internet Traffic with Active Wardens. Information Hiding (2002)