Justin M. Beaver

Publication Activity (10 Years)

Years Active: 2003-2023
Publications (10 Years): 6

Top Topics

Information Security

Malware Detection

Visual Analytics

Top Venues

iThings/GreenCom/CPSCom/SmartData/Cybermatics

Publications

Robert A. Bridges, Brian Weber, Justin M. Beaver, Jared M. Smith, Miki E. Verma, Savannah Norem, Kevin D. Spakes, Cory L. Watson, Jeffrey A. Nichols, Brian Jewell, Michael D. Iannacone, Chelsey Dunivan Stahl, Kelly M. T. Huffer, T. Sean Oesch
AI ATAC 1: An Evaluation of Prominent Commercial Malware Detectors. BigData (2023)
Robert A. Bridges, Brian Weber, Justin M. Beaver, Jared M. Smith, Miki E. Verma, Savannah Norem, Kevin D. Spakes, Cory L. Watson, Jeffrey A. Nichols, Brian Jewell, Michael D. Iannacone, Chelsey Dunivan Stahl, Kelly M. T. Huffer, T. Sean Oesch
AI ATAC 1: An Evaluation of Prominent Commercial Malware Detectors. CoRR (2023)
Sean Oesch, Robert A. Bridges, Jared M. Smith, Justin M. Beaver, John R. Goodall, Kelly M. T. Huffer, Craig Miles, Daniel Scofield
An Assessment of the Usability of Machine Learning Based Tools for the Security Operations Center. CoRR (2020)
Robert A. Bridges, Sean Oesch, Miki E. Verma, Michael D. Iannacone, Kelly M. T. Huffer, Brian Jewell, Jeffrey A. Nichols, Brian Weber, Justin M. Beaver, Jared M. Smith, Daniel Scofield, Craig Miles, Thomas Plummer, Mark Daniell, Anne M. Tall
Beyond the Hype: A Real-World Evaluation of the Impact and Cost of Machine Learning-Based Malware Detection. CoRR (2020)
Sean Oesch, Robert A. Bridges, Jared M. Smith, Justin M. Beaver, John R. Goodall, Kelly M. T. Huffer, Craig Miles, Daniel Scofield
An Assessment of the Usability of Machine Learning Based Tools for the Security Operations Center. iThings/GreenCom/CPSCom/SmartData/Cybermatics (2020)
Robert A. Bridges, Michael D. Iannacone, John R. Goodall, Justin M. Beaver
How do information security workers use host data? A summary of interviews with security analysts. CoRR (2018)
Chad A. Steed, Margaret Drouhard, Justin M. Beaver, Joshua Pyle, Paul Logasa Bogen
Matisse: A visual analytics system for exploring emotion trends in social media text streams. IEEE BigData (2015)
Justin M. Beaver, Christopher T. Symons, Robert E. Gillen
A learning system for discriminating variants of malicious network traffic. CSIIRW (2013)
Justin M. Beaver, Raymond C. Borges-Hink, Mark A. Buckner
An Evaluation of Machine Learning Methods to Detect Malicious SCADA Communications. ICMLA (2) (2013)
Christopher T. Symons, Justin M. Beaver
Nonparametric semi-supervised learning for network intrusion detection: combining performance improvements with realistic in-situ training. AISec (2012)
Xiaohui Cui, Wade Gasior, Justin M. Beaver, Jim N. Treadwell
ShadowNet: An Active Defense Infrastructure for Insider Cyber Attack Prevention. ICCSA (4) (2012)
Justin M. Beaver, Robert M. Patton, Thomas E. Potok
An approach to the automated determination of host information value. CICS (2011)
Robert M. Patton, Justin M. Beaver, Thomas E. Potok
Classification of Distributed Data Using Topic Modeling and Maximum Variation Sampling. HICSS (2011)
Robert M. Patton, Justin M. Beaver, Chad A. Steed, Thomas E. Potok, Jim N. Treadwell
Hierarchical clustering and visualization of aggregate cyber data. IWCMC (2011)
Xiaohui Cui, Justin M. Beaver, Thomas E. Potok, Li Yang
Visual Mining Intrusion Behaviors by Using Swarm Technology. HICSS (2011)
Xiaohui Cui, Justin M. Beaver, Everett Stiles, Laura Pullum, Brian A. Klump, Jim N. Treadwell, Thomas E. Potok
The Swarm Model in Open Source Software Developer Communities. SocialCom/PASSAT (2010)
Steven J. Fernandez, Amy N. Rose, Edward A. Bright, Justin M. Beaver, Christopher T. Symons, Olufemi A. Omitaomu, Cathy Jiao
Construction of Synthetic Populations with Key Attributes: Simulation Set-Up While Accommodating Multiple Approaches within a Flexible Simulation Platform. SocialCom/PASSAT (2010)
Justin M. Beaver, Xiaohui Cui, Jesse St. Charles, Thomas E. Potok
Modeling success in FLOSS project groups. PROMISE (2009)
Justin M. Beaver, Ryan A. Kerekes, Jim N. Treadwell
An information fusion framework for threat assessment. FUSION (2009)
Xiaohui Cui, Justin M. Beaver, Jim N. Treadwell, Thomas E. Potok, Laura Pullum
A Stigmergy Approach for Open Source Software Developer Community Simulation. CSE (4) (2009)
Xiaohui Cui, Justin M. Beaver, Jesse St. Charles, Thomas E. Potok
Dimensionality reduction particle swarm algorithm for high dimensional clustering. SIS (2008)
Justin M. Beaver, Guy A. Schiavone
The effects of development team skill on software product quality. ACM SIGSOFT Softw. Eng. Notes 31 (3) (2006)
Justin M. Beaver, Guy A. Schiavone, Joseph Berrios
Predicting software suitability using a Bayesian belief network. ICMLA (2005)
Justin M. Beaver, Guy A. Schiavone
Spatial Data Analysis as a Software Quality Modeling Technique. SEKE (2003)
Justin M. Beaver, Guy A. Schiavone
A Comparison of Software Quality Modeling Techniques. Software Engineering Research and Practice (2003)