Home : Research : Research Labs : Intelligent Cyber-Systems and Analytics
Intelligent Cyber-Systems and Analytics Research Laboratory
RESEARCH OVERVIEW

Our research directly supports the overarching ACI research initiatives of cyber autonomy, cyber resiliency for critical infrastructures, and cyber-physical systems. As part of our research agenda, we conduct basic and applied cyber research in the areas of:

  • Artificial intelligence and machine/deep learning
  • Data science, data mining and big data analytics
  • Computational science and statistical computing
  • Knowledge representation, data discovery and visualization, and network science
  • High-performance, distributed computing and parallel processing
RESEARCH FOCUS

Our research focuses on the design, development, experimentation and operationalization of computationally intelligent, large-scale, and distributed decision-support systems for autonomous cyber operations. To build, test and deploy autonomous cyber-systems that enable intelligent cybersecurity data analytics, our research team explores the science of information, computation, learning, and fusion as it pertains to the use of artificial intelligence for adaptive pattern discovery, learning, reasoning, perception, action and decision-making given heterogenous, disparate cyber data.

Our research aims to provide the Army Cyber Enterprise new capabilities to:

  • Shift emphasis from sensing to information awareness
  • Understand the underpinning of cyber autonomy
  • Relieve human cybersecurity analyst cognitive overload in dealing with the data deluge problem
  • Enhance human-machine interface in information processing

Our research has the potential to:

  • Cope with various complex disparate data/information types
  • Integrate a diversity of unique reasoning and learning components collaborating simultaneously
  • Bridge correlational with causal discovery
  • Determine solutions or obstructions to local-to-global data fusion problems
  • Mechanize reasoning/learning and computing in the same computational environment
  • Yield provably efficient procedures to enable or facilitate cyber data analytics
  • Deal with high-dimensional and massive cyber datasets with provably guaranteed performance

Our current research efforts include:

  • "Optimizing Army Cyber Branch Readiness and Manning Under Uncertainty: Stochastic and Robust Goal Programming Approaches"
  • "Generative Adversarial Networks in Cyber Defense"
  • "Deep Reinforcement Learning for Cyber Threat Detection, Characterization and Response"
  • "Intelligent Systems Design for Malware Classification under Adversarial Conditions"
  • "Heterogeneous Cyber Pattern Learning for Autonomous Network Vulnerability Assessment and Decision Support at Scale"
  • "Intelligent Feature Engineering for High-Performance Computing Enabled Machine Learning in Cybersecurity"
  • "Investigating Machine Learning for Anomaly Detection in the Smart Grid"
  • "Cyber Autonomy: Advances to Cyber Resiliency for Critical Infrastructures"
  • "The Cyber Leader Dashboard: Generating Insights using Cyber Data Visualization and Analytics
  • "Using Natural Language Processing for Feature Engineering in Cyber Data Science"
RESEARCH TEAM

COL Andrew Hall, Ph.D.

COL Daniel Bennett, Ph.D.

LTC Douglas Fletcher, Ph.D.

LTC Randall Hickman, Ph.D.

LTC Malcom Haynes, Ph.D.

MAJ Nathaniel Bastian, Ph.D.

CPT Steve Whitham

Dr. Paul Maxwell

Dr. Robert Thomson

Dr. Elie Alhajjar

Dr. Lubjana Beshaj

Dr. Travis Russell

Mrs. Hyeyon Bastian

If you are interested in collaborating on research with us, please contact ICSARL's Lead Research Scientist, MAJ Nathan Bastian, Ph.D.