Justin M. Beaver

发表

Visualization techniques for computer network defense

Robert M. Patton, Chad A. Steed, Xiaohui Cui, 2011, Defense + Commercial Sensing.

Classification of Distributed Data Using Topic Modeling and Maximum Variation Sampling

Thomas E. Potok, Robert M. Patton, Justin M. Beaver, 2011, 2011 44th Hawaii International Conference on System Sciences.

A learning system for discriminating variants of malicious network traffic

Justin M. Beaver, Christopher T. Symons, Rob Gillen, 2013, CSIIRW '13.

Center Director's Discretionary Fund 2005 Annual Report

Raymond M. Wheeler, John C. Sager, Martha K. Williams, 2007 .

Spatial Data Analysis as a Software Quality Modeling Technique

Guy A. Schiavone, Justin M. Beaver, 2003, SEKE.

An information fusion framework for threat assessment

Justin M. Beaver, Ryan A. Kerekes, Jim N. Treadwell, 2009, 2009 12th International Conference on Information Fusion.

Predicting software suitability using a Bayesian belief network

Guy A. Schiavone, Justin M. Beaver, Joseph Berrios, 2005, Fourth International Conference on Machine Learning and Applications (ICMLA'05).

Nonparametric semi-supervised learning for network intrusion detection: combining performance improvements with realistic in-situ training

Justin M. Beaver, Christopher T. Symons, Christopher T. Symons, 2012, AISec.

An Evaluation of Machine Learning Methods to Detect Malicious SCADA Communications

Mark A. Buckner, Justin M. Beaver, Raymond C. Borges-Hink, 2013, 2013 12th International Conference on Machine Learning and Applications.

The Swarm Model in Open Source Software Developer Communities

Thomas E. Potok, Xiaohui Cui, Everett Stiles, 2010, 2010 IEEE Second International Conference on Social Computing.

A Stigmergy Approach for Open Source Software Developer Community Simulation

Thomas E. Potok, Xiaohui Cui, Justin M. Beaver, 2009, 2009 International Conference on Computational Science and Engineering.

Beyond the Hype: A Real-World Evaluation of the Impact and Cost of Machine Learning-Based Malware Detection pdf

Michael D. Iannacone, Robert A. Bridges, Jared M. Smith, 2020, ArXiv.

A Comparison of Software Quality Modeling Techniques

Guy A. Schiavone, Justin M. Beaver, 2003, Software Engineering Research and Practice.

The effects of development team skill on software product quality

Guy A. Schiavone, Justin M. Beaver, 2006, SOEN.

Construction of Synthetic Populations with Key Attributes: Simulation Set-Up While Accommodating Multiple Approaches within a Flexible Simulation Platform

Olufemi A. Omitaomu, Justin M. Beaver, Amy N. Rose, 2010, 2010 IEEE Second International Conference on Social Computing.

Dimensionality reduction particle swarm algorithm for high dimensional clustering

Thomas E. Potok, Xiaohui Cui, Justin M. Beaver, 2008, 2008 IEEE Swarm Intelligence Symposium.

ShadowNet: An Active Defense Infrastructure for Insider Cyber Attack Prevention

Xiaohui Cui, Wade Gasior, Justin M. Beaver, 2012, ICCSA.

Proceedings of the 12th Annual Conference on Cyber and Information Security Research

Stacy J. Prowell, Robert A. Bridges, John R. Goodall, 2017, CISRC.

Visual Mining Intrusion Behaviors by Using Swarm Technology

Li Yang, Thomas E. Potok, Xiaohui Cui, 2011, 2011 44th Hawaii International Conference on System Sciences.

Machine learning for power system disturbance and cyber-attack discrimination

Thomas H. Morris, Uttam Adhikari, Shengyi Pan, 2014, 2014 7th International Symposium on Resilient Control Systems (ISRCS).

Host-Based Data Exfiltration Detection via System Call Sequences

Justin M. Beaver, Brian C Jewell, 2011 .

Decision-level information fusion to assess threat likelihood in shipped containers

Justin M. Beaver, Ryan A. Kerekes, Jim N. Treadwell, 2009, 2009 IEEE Conference on Technologies for Homeland Security.

A life cycle software quality model using bayesian belief networks

Guy A. Schiavone, Justin M. Beaver, G. Schiavone, 2006 .

How do information security workers use host data? A summary of interviews with security analysts pdf

Michael D. Iannacone, Robert A. Bridges, John R. Goodall, 2018, ArXiv.

Modeling success in FLOSS project groups

Thomas E. Potok, Xiaohui Cui, Justin M. Beaver, 2009, PROMISE '09.

Text Stream Trend Analysis using Multiscale Visual Analytics with Applications to Social Media Systems

Chad A. Steed, Justin M. Beaver, Margaret Drouhard, 2015 .

Matisse: A visual analytics system for exploring emotion trends in social media text streams

Chad A. Steed, Justin M. Beaver, Paul Logasa Bogen, 2015, 2015 IEEE International Conference on Big Data (Big Data).

Hierarchical clustering and visualization of aggregate cyber data

Thomas E. Potok, Robert M. Patton, Chad A. Steed, 2011, 2011 7th International Wireless Communications and Mobile Computing Conference.

An approach to the automated determination of host information value

Thomas E. Potok, Robert M. Patton, Justin M. Beaver, 2011, 2011 IEEE Symposium on Computational Intelligence in Cyber Security (CICS).

1 Understanding the Emergence of Self-organized Insurgent Groups ( Stage Report )

Justin M. Beaver, Xiaohui Cui, T. Potok, 2008 .

Beyond the Hype: An Evaluation of Commercially Available Machine-Learning-Based Malware Detectors

Michael D. Iannacone, Kelly M. T. Huffer, Justin M. Beaver, 2023, Digital Threats: Research and Practice.

An Assessment of the Usability of Machine Learning Based Tools for the Security Operations Center

Robert Bridges, Kelly M. T. Huffer, Justin M. Beaver, 2020, 2020 International Conferences on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData) and IEEE Congress on Cybermatics (Cybermatics).