Justin M. Beaver

Orcid: 0000-0002-0281-6017

According to our database1, Justin M. Beaver authored at least 23 papers between 2003 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
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PhD thesis 
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Bibliography

2023
AI ATAC 1: An Evaluation of Prominent Commercial Malware Detectors.
Proceedings of the IEEE International Conference on Big Data, 2023

2020
Beyond the Hype: A Real-World Evaluation of the Impact and Cost of Machine Learning-Based Malware Detection.
CoRR, 2020

An Assessment of the Usability of Machine Learning Based Tools for the Security Operations Center.
Proceedings of the 2020 International Conferences on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2020

2018
How do information security workers use host data? A summary of interviews with security analysts.
CoRR, 2018

2015
Matisse: A visual analytics system for exploring emotion trends in social media text streams.
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

2013
An Evaluation of Machine Learning Methods to Detect Malicious SCADA Communications.
Proceedings of the 12th International Conference on Machine Learning and Applications, 2013

A learning system for discriminating variants of malicious network traffic.
Proceedings of the Cyber Security and Information Intelligence, 2013

2012
ShadowNet: An Active Defense Infrastructure for Insider Cyber Attack Prevention.
Proceedings of the Computational Science and Its Applications - ICCSA 2012, 2012

Nonparametric semi-supervised learning for network intrusion detection: combining performance improvements with realistic in-situ training.
Proceedings of the 5th ACM Workshop on Security and Artificial Intelligence, 2012

2011
Hierarchical clustering and visualization of aggregate cyber data.
Proceedings of the 7th International Wireless Communications and Mobile Computing Conference, 2011

Classification of Distributed Data Using Topic Modeling and Maximum Variation Sampling.
Proceedings of the 44th Hawaii International International Conference on Systems Science (HICSS-44 2011), 2011

Visual Mining Intrusion Behaviors by Using Swarm Technology.
Proceedings of the 44th Hawaii International International Conference on Systems Science (HICSS-44 2011), 2011

An approach to the automated determination of host information value.
Proceedings of the 2011 IEEE Symposium on Computational Intelligence in Cyber Security, 2011

2010
Construction of Synthetic Populations with Key Attributes: Simulation Set-Up While Accommodating Multiple Approaches within a Flexible Simulation Platform.
Proceedings of the 2010 IEEE Second International Conference on Social Computing, 2010

The Swarm Model in Open Source Software Developer Communities.
Proceedings of the 2010 IEEE Second International Conference on Social Computing, 2010

2009
Modeling success in FLOSS project groups.
Proceedings of the 5th International Workshop on Predictive Models in Software Engineering, 2009

An information fusion framework for threat assessment.
Proceedings of the 12th International Conference on Information Fusion, 2009

A Stigmergy Approach for Open Source Software Developer Community Simulation.
Proceedings of the 12th IEEE International Conference on Computational Science and Engineering, 2009

2008
Dimensionality reduction particle swarm algorithm for high dimensional clustering.
Proceedings of the 2008 IEEE Swarm Intelligence Symposium, 2008

2006
The effects of development team skill on software product quality.
ACM SIGSOFT Softw. Eng. Notes, 2006

2005
Predicting software suitability using a Bayesian belief network.
Proceedings of the Fourth International Conference on Machine Learning and Applications, 2005

2003
A Comparison of Software Quality Modeling Techniques.
Proceedings of the International Conference on Software Engineering Research and Practice, 2003

Spatial Data Analysis as a Software Quality Modeling Technique.
Proceedings of the Fifteenth International Conference on Software Engineering & Knowledge Engineering (SEKE'2003), 2003


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