Invited Talk: Dr. John N. Carbone

by admin last modified Jul 25, 2018 05:12 PM

John N. Carbone

Reducing Cyber Security Non-linearity, Risks and Complexity utilizing Axiomatic Design and Autonomous AI/Machine Learning

Dr. John N. Carbone
Forcepoint Cyber Security, USA; Senior Director
Technical Solutions and scientific advisor to Forcepoint LLC

Global Governments and Critical Infrastructure division

Date & Time: August 1 (Wednesday), 2018; 08:20am - 09:20am
Location: Galleria B

Historically, research shows analysis, characterization, and classification of complex heterogeneous non-linear systems and interactions have been difficult to accurately understand and effectively model. The exponential expansion of IoT and Cyber Physical Systems and the litter of current unscrupulous cyber events depict an ever challenging environment wrought with synonymous non-linearity. This provides today’s significant incentive to industry and academia for advancement of cyber security research towards solutions and prediction of advanced and persistent global threats. Recent advances in Artificial Cognitive Architectures and Artificial Intelligence (AI) are benefitting disciplines struggling with learning from rapid increasing data volume, velocity, and complexity. Research shows complexity reducing axiomatic design benefitting optimization of complex systems, significant ambiguity reduction and increased insights from high volume, highly diverse, high velocity data. Therefore, proposed is a multidisciplinary approach to potentially reduce cyber security risk and complexity. We combine novel AI adaptive machine based learning and axiomatic design based complexity reduction techniques to optimize cyber systems and improve autonomous cyber learning potential. Specifically, we apply new, novel, near real-time, advanced machine learning algorithms designed to significantly increase fidelity of complex cyber event data including behavioral usage characteristics in order to achieve significantly reduced system non-linearity, reduce risks from external and insider cyber threats, thereby, increasing efficiencies and "peace of mind", and reducing system cost and overwhelmed cyber analyst labor costs.

Dr. John N. Carbone has served Raytheon Company and the defense industry for ~30 years.  Dr. Carbone currently serves as Senior Director, Technical Solutions and scientific advisor to Forcepoint LLC, Global Governments and Critical Infrastructure division. He recently served as Chief Science Advisor and Raytheon Engineering Fellow within the Intelligence, Information and Services (IIS) Division after previously serving as Product Area Technology Director and Chief Engineer for Innovation. Dr. Carbone has served in various Chief Engineer, System, Software Architect Roles and more recently as Chief Data Architect/Scientist for major Cloud programs.

Dr. Carbone received his undergraduate Bachelor of Science degree in Computer Science from Baylor University, Masters of Engineering from Texas Tech University, Masters Equivalent in Software and Systems Engineering from University of Texas at Austin, and his PhD in Mechanical Engineering at Texas Tech University with a focus upon enhancing information theory research by combining cognition based frameworks and processes using adaptations of multi-dimensional space-time relationship mechanics.

Dr. Carbone began his career developing real-time embedded voice, cyber, and data communications software solutions for satellite tracking and switching systems. Subsequently, Dr. Carbone has been forging bridges between High Performance Computing and Big Data architectures within distributed enterprise software engineering for ~17 years. During this tenure, Dr. Carbone was instrumental in providing architecture, design, implementation, and fielding of software systems which have lead to the development of a number of strategic ISR programs considered paradigm shifts for the Department of Defense and Intelligence Community. 

Dr. Carbone has submitted and received national/international software patents, and continuously publishes and edits scientific content for books, journals, conferences and symposia. Topics include dynamic discovery, dynamically provisionable workflow of multiple disparate static and streaming data sources, geospatial intelligence enterprise systems, Big Data and Analytics, Cyber Security, disruption tolerant networking technology, and cognitive computing based frameworks for enhancing decision making of self-learning autonomous systems. Recent book publishing efforts for Elsevier include Mining Big Data to Improve National Security. Recent Springer Scientific published books include topics on Multi-Disciplinary Systems Engineering, Artificial Cognition Architectures, Applied Cyber Physical Systems and Artificial Psychology.

Lastly, Dr. Carbone’s academic and professional society efforts have included Baylor University, Texas Tech University and Texas A&M Commerce Computer Science and Cyber Security Boards and University of Texas at Dallas School of Management, Board Member for the Journal of Integrated Design and Process Science (JIDPS), Education Director and member of the Society of Design and Process Science (SDPS) ~21 years, Association for Computing Machinery (ACM) and VP for development of the Software Engineering Society (SES). His responsibilities include developing lasting relationships between academia and industry and jointly developing transformational K-20 curriculum for education including how to teach computational thinking and Science, Technology, Engineering, and Math (STEM).

Filed under: , ,