1st Edition

Military Applications of Data Analytics

Edited By Kevin Huggins Copyright 2019
218 Pages 10 Color & 25 B/W Illustrations
by Auerbach Publications

218 Pages 10 Color & 25 B/W Illustrations
by Auerbach Publications

218 Pages 10 Color & 25 B/W Illustrations
by Auerbach Publications

Military organizations around the world are normally huge producers and consumers of data. Accordingly, they stand to gain from the many benefits associated with data analytics. However, for leaders in defense organizations—either government or industry—accessible use cases are not always available. This book presents a diverse collection of cases that explore the realm of possibilities in... Read more

1 Bayesian Networks for Descriptive Analytics in Military Equipment Applications



2 Network Modeling and Analysis of Data and Relationships: Developing Cyber and Complexity Science



3 Context for Maritime Situation Awareness



4 Harnessing Single Board Computers for Military Data Analytics



5 Data Analytics and Training Effectiveness Evaluation



6 Data Analytics for Electric Power and Energy Applications



7 The Evolution of Environmental Data Analytics in Military Operations



8 Autoregressive Bayesian Networks for Information Validation and Amendment in Military Applications



9 Developing Cyber-Personas from Syslog Files for Insider Threat Detection: A Feasibility Study



10 Analytics for Military Training in Virtual Reality Environments

Biography

Kevin Huggins, PhD, is professor of Computer Science and Data Analytics at Harrisburg University of Science and Technology, Harrisburg, Pennsylvania. He is also a retired military officer who spent the early part of his career in military intelligence, with extensive experience in Latin America. The remainder of his career was spent in academia, primarily as a faculty member in the Department of Electrical Engineering and Computer Science at the U.S. Military Academy. While there, Dr. Huggins served as the director of Research in Network Science as well as the director of the Information Technology Program. Additionally, Dr. Huggins was a visiting scientist at the École de Techniques Avancées in Paris, France, where he studied parallel algorithms for multiprocessor system-on-chip (MPSoC) architectures. His current research interest lies at the intersection of data science and information security, exploring novel ways of securing computing systems by leveraging the enormous amounts of available data. He holds a PhD in computer science from Mines Paris Tech.