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ORCIDJustin M. Beaver
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2020 – today
- 2023
[j2]Robert A. Bridges, Sean Oesch
, Michael D. Iannacone, Kelly M. T. Huffer, Brian Jewell, Jeffrey A. Nichols, Brian Weber, Miki E. Verma, Daniel Scofield, Craig Miles, Thomas Plummer, Mark Daniell, Anne M. Tall, Justin M. Beaver, Jared M. Smith:
Beyond the Hype: An Evaluation of Commercially Available Machine Learning-based Malware Detectors. DTRAP 4(2): 27:1-27:22 (2023)- [c20]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. IEEE Big Data 2023: 1620-1629 - [i4]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 abs/2308.14835 (2023) - 2020
- [c19]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: 634-641 - [i3]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 abs/2012.09013 (2020) - [i2]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 abs/2012.09214 (2020)
2010 – 2019
- 2018
- [i1]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 abs/1812.02867 (2018) - 2017
- [e1]Joseph P. Trien, Stacy J. Prowell, John R. Goodall, Justin M. Beaver, Robert A. Bridges:
Proceedings of the 12th Annual Conference on Cyber and Information Security Research, CISRC 2017, Oak Ridge, TN, USA, April 4 - 6, 2017. ACM 2017, ISBN 978-1-4503-4855-3 [contents] - 2015
- [c18]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: 807-814 - 2013
- [c17]Justin M. Beaver, Christopher T. Symons, Robert E. Gillen:
A learning system for discriminating variants of malicious network traffic. CSIIRW 2013: 23 - [c16]Justin M. Beaver, Raymond C. Borges-Hink, Mark A. Buckner:
An Evaluation of Machine Learning Methods to Detect Malicious SCADA Communications. ICMLA (2) 2013: 54-59 - 2012
- [c15]Christopher T. Symons, Justin M. Beaver:
Nonparametric semi-supervised learning for network intrusion detection: combining performance improvements with realistic in-situ training. AISec 2012: 49-58 - [c14]Xiaohui Cui, Wade Gasior, Justin M. Beaver, Jim N. Treadwell:
ShadowNet: An Active Defense Infrastructure for Insider Cyber Attack Prevention. ICCSA (4) 2012: 646-653 - 2011
- [c13]Justin M. Beaver, Robert M. Patton, Thomas E. Potok:
An approach to the automated determination of host information value. CICS 2011: 92-99 - [c12]Xiaohui Cui, Justin M. Beaver, Thomas E. Potok, Li Yang:
Visual Mining Intrusion Behaviors by Using Swarm Technology. HICSS 2011: 1-7 - [c11]Robert M. Patton, Justin M. Beaver, Thomas E. Potok:
Classification of Distributed Data Using Topic Modeling and Maximum Variation Sampling. HICSS 2011: 1-5 - [c10]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: 1287-1291 - 2010
- [c9]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: 656-660 - [c8]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: 701-706
2000 – 2009
- 2009
- [c7]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: 602-606 - [c6]Justin M. Beaver, Ryan A. Kerekes, Jim N. Treadwell:
An information fusion framework for threat assessment. FUSION 2009: 1903-1910 - [c5]Justin M. Beaver, Xiaohui Cui, Jesse St. Charles, Thomas E. Potok:
Modeling success in FLOSS project groups. PROMISE 2009: 16 - 2008
- [c4]Xiaohui Cui, Justin M. Beaver, Jesse St. Charles, Thomas E. Potok:
Dimensionality reduction particle swarm algorithm for high dimensional clustering. SIS 2008: 1-6 - 2006
- [j1]Justin M. Beaver, Guy A. Schiavone:
The effects of development team skill on software product quality. ACM SIGSOFT Softw. Eng. Notes 31(3): 1-5 (2006) - 2005
- [c3]Justin M. Beaver, Guy A. Schiavone, Joseph Berrios:
Predicting software suitability using a Bayesian belief network. ICMLA 2005 - 2003
- [c2]Justin M. Beaver, Guy A. Schiavone:
Spatial Data Analysis as a Software Quality Modeling Technique. SEKE 2003: 74-77 - [c1]Justin M. Beaver, Guy A. Schiavone:
A Comparison of Software Quality Modeling Techniques. Software Engineering Research and Practice 2003: 263-266
Coauthor Index
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