Justin M. Beaver

27 papers B 2C 3Journal 6Unranked 15

Year	Rank	Type	Title / Venue / Authors
2023	B	`conf`	AI ATAC 1: An Evaluation of Prominent Commercial Malware Detectors. IEEE Big Data 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
2023	J	`jnl`	AI ATAC 1: An Evaluation of Prominent Commercial Malware Detectors. CoRR 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
2023	J	`jnl`	Beyond the Hype: An Evaluation of Commercially Available Machine Learning-based Malware Detectors. DTRAP 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
2020	—	`conf`	An Assessment of the Usability of Machine Learning Based Tools for the Security Operations Center. iThings/GreenCom/CPSCom/SmartData/Cybermatics Sean Oesch, Robert A. Bridges, Jared M. Smith, Justin M. Beaver, John R. Goodall, Kelly M. T. Huffer, Craig Miles, Daniel Scofield
2020	J	`jnl`	An Assessment of the Usability of Machine Learning Based Tools for the Security Operations Center. CoRR Sean Oesch, Robert A. Bridges, Jared M. Smith, Justin M. Beaver, John R. Goodall, Kelly M. T. Huffer, Craig Miles, Daniel Scofield
2020	J	`jnl`	Beyond the Hype: A Real-World Evaluation of the Impact and Cost of Machine Learning-Based Malware Detection. CoRR 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
2018	J	`jnl`	How do information security workers use host data? A summary of interviews with security analysts. CoRR Robert A. Bridges, Michael D. Iannacone, John R. Goodall, Justin M. Beaver
2017	—	`ed.`	Proceedings of the 12th Annual Conference on Cyber and Information Security Research, CISRC 2017, Oak Ridge, TN, USA, April 4 - 6, 2017 CISRC Joseph P. Trien, Stacy J. Prowell, John R. Goodall, Justin M. Beaver, Robert A. Bridges
2015	—	`conf`	Matisse: A visual analytics system for exploring emotion trends in social media text streams. IEEE BigData Chad A. Steed, Margaret Drouhard, Justin M. Beaver, Joshua Pyle, Paul Logasa Bogen
2013	—	`conf`	A learning system for discriminating variants of malicious network traffic. CSIIRW Justin M. Beaver, Christopher T. Symons, Robert E. Gillen
2013	—	`conf`	An Evaluation of Machine Learning Methods to Detect Malicious SCADA Communications. ICMLA (2) Justin M. Beaver, Raymond C. Borges-Hink, Mark A. Buckner
2012	—	`conf`	Nonparametric semi-supervised learning for network intrusion detection: combining performance improvements with realistic in-situ training. AISec Christopher T. Symons, Justin M. Beaver
2012	—	`conf`	ShadowNet: An Active Defense Infrastructure for Insider Cyber Attack Prevention. ICCSA (4) Xiaohui Cui, Wade Gasior, Justin M. Beaver, Jim N. Treadwell
2011	—	`conf`	An approach to the automated determination of host information value. CICS Justin M. Beaver, Robert M. Patton, Thomas E. Potok
2011	—	`conf`	Classification of Distributed Data Using Topic Modeling and Maximum Variation Sampling. HICSS Robert M. Patton, Justin M. Beaver, Thomas E. Potok
2011	B	`conf`	Hierarchical clustering and visualization of aggregate cyber data. IWCMC Robert M. Patton, Justin M. Beaver, Chad A. Steed, Thomas E. Potok, Jim N. Treadwell
2011	—	`conf`	Visual Mining Intrusion Behaviors by Using Swarm Technology. HICSS Xiaohui Cui, Justin M. Beaver, Thomas E. Potok, Li Yang
2010	—	`conf`	Construction of Synthetic Populations with Key Attributes: Simulation Set-Up While Accommodating Multiple Approaches within a Flexible Simulation Platform. SocialCom/PASSAT Steven J. Fernandez, Amy N. Rose, Edward A. Bright, Justin M. Beaver, Christopher T. Symons, Olufemi A. Omitaomu, Cathy Jiao
2010	—	`conf`	The Swarm Model in Open Source Software Developer Communities. SocialCom/PASSAT Xiaohui Cui, Justin M. Beaver, Everett Stiles, Laura Pullum, Brian A. Klump, Jim N. Treadwell, Thomas E. Potok
2009	—	`conf`	A Stigmergy Approach for Open Source Software Developer Community Simulation. CSE (4) Xiaohui Cui, Justin M. Beaver, Jim N. Treadwell, Thomas E. Potok, Laura Pullum
2009	C	`conf`	An information fusion framework for threat assessment. FUSION Justin M. Beaver, Ryan A. Kerekes, Jim N. Treadwell
2009	—	`conf`	Modeling success in FLOSS project groups. PROMISE Justin M. Beaver, Xiaohui Cui, Jesse St. Charles, Thomas E. Potok
2008	—	`conf`	Dimensionality reduction particle swarm algorithm for high dimensional clustering. SIS Xiaohui Cui, Justin M. Beaver, Jesse St. Charles, Thomas E. Potok
2006	J	`jnl`	The effects of development team skill on software product quality. ACM SIGSOFT Softw. Eng. Notes Justin M. Beaver, Guy A. Schiavone
2005	C	`conf`	Predicting software suitability using a Bayesian belief network. ICMLA Justin M. Beaver, Guy A. Schiavone, Joseph Berrios
2003	—	`conf`	A Comparison of Software Quality Modeling Techniques. Software Engineering Research and Practice Justin M. Beaver, Guy A. Schiavone
2003	C	`conf`	Spatial Data Analysis as a Software Quality Modeling Technique. SEKE Justin M. Beaver, Guy A. Schiavone