Characterizing Long Term Usage of a Mass Storage System At a Super Computer Site. - Joshua C. Neil (MSS, 2001)

Eliminating Steganography in Internet Traffic with Active Wardens. - Gina Fisk; Mike Fisk; Christos Papadopoulos; Joshua Neil (Information Hiding, 2002)

Graph-based malware detection using dynamic analysis. - Blake Anderson; Daniel Quist; Joshua Neil; Curtis B. Storlie; Terran Lane (J. Comput. Virol., 2011)

Improving antivirus accuracy with hypervisor assisted analysis. - Daniel Quist; Lorie M. Liebrock; Joshua Neil (J. Comput. Virol., 2011)

Web Adoption: An Attempt Toward Classifying Risky Internet Web Browsing Behavior. - Alexander D. Kent; Lorie M. Liebrock; Joshua Neil (LASER, 2013)

Scan Statistics for the Online Detection of Locally Anomalous Subgraphs. - Joshua Neil; Curtis L. Hash Jr.; Alexander Brugh; Mike Fisk; Curtis B. Storlie (Technometrics, 2013)

Detecting Localised Anomalous Behaviour in a Computer Network. - Melissa J. Turcotte; Nicholas A. Heard; Joshua Neil (IDA, 2014)

Connected Components and Credential Hopping in Authentication Graphs. - Aric A. Hagberg; Nathan Lemons; Alexander D. Kent; Joshua Neil (SITIS, 2014)

Authentication graphs: Analyzing user behavior within an enterprise network. - Alexander D. Kent; Lorie M. Liebrock; Joshua C. Neil (Comput. Secur., 2015)

Attack chain detection. - Joseph Sexton; Curtis B. Storlie; Joshua Neil (Stat. Anal. Data Min., 2015)

A Likelihood Ratio Detector for Identifying Within-Perimeter Computer Network Attacks. - Justin Grana; David H. Wolpert; Joshua Neil; Dongping Xie; Tanmoy Bhattacharya 001; Russell Bent (CoRR, 2016)

A likelihood ratio anomaly detector for identifying within-perimeter computer network attacks. - Justin Grana; David H. Wolpert; Joshua Neil; Dongping Xie; Tanmoy Bhattacharya 001; Russell Bent (J. Netw. Comput. Appl., 2016)

Detecting Cyber Attacks Using Anomaly Detection with Explanations and Expert Feedback. - Md Amran Siddiqui; Jack W. Stokes; Christian Seifert; Evan Argyle; Robert McCann; Joshua Neil; Justin Carroll (ICASSP, 2019)

Anomaly Detection in Large Scale Networks with Latent Space Models. - Wesley Lee; Tyler H. McCormick; Joshua Neil; Cole Sodja (CoRR, 2019)

Effective Detection of Credential Thefts from Windows Memory: Learning Access Behaviours to Local Security Authority Subsystem Service. - Patrick Ah-Fat; Michael Huth 001; Rob Mead; Tim Burrell; Joshua Neil (RAID, 2020)

D2M: Dynamic Defense and Modeling of Adversarial Movement in Networks. - Scott Freitas; Andrew Wicker; Duen Horng (Polo) Chau; Joshua Neil (SDM, 2020)

D2M: Dynamic Defense and Modeling of Adversarial Movement in Networks. - Scott Freitas; Andrew Wicker; Duen Horng Chau; Joshua Neil (CoRR, 2020)

A Large-Scale Database for Graph Representation Learning. - Scott Freitas; Yuxiao Dong; Joshua Neil; Duen Horng Chau (NeurIPS Datasets and Benchmarks, 2021)

Living-Off-The-Land Command Detection Using Active Learning. - Talha Ongun; Jack W. Stokes; Jonathan Bar Or; Ke Tian; Farid Tajaddodianfar; Joshua Neil; Christian Seifert; Alina Oprea; John C. Platt (RAID, 2021)

Link prediction in dynamic networks using random dot product graphs. - Francesco Sanna Passino; Anna S. Bertiger; Joshua C. Neil; Nicholas A. Heard (Data Min. Knowl. Discov., 2021)

Peer-group Behaviour Analytics of Windows Authentications Events Using Hierarchical Bayesian Modelling. - Iwona Hawryluk; Henrique Hoeltgebaum; Cole Sodja; Tyler Lalicker; Joshua Neil (CoRR, 2022)

Anomaly Detection in Large-Scale Networks With Latent Space Models. - Wesley Lee; Tyler H. McCormick; Joshua Neil; Cole Sodja; Yanran Cui (Technometrics, 2022)