Dr. Alexander Kott serves as the Chief Scientist of the U.S. Combat Capabilities Development Command Army Research Laboratory. In this role he provides leadership in development of ARL technical strategy, maintaining technical quality of ARL research, and representing ARL to the external technical community. Dr. Kott is also the Army Senior Research Scientist (ST) for Cyber Resilience, in which capacity he formulates the vision of future technologies critical to the Army cyber resilience, and advocates and shapes plans and programs leading to such technologies. Prior to becoming the Chief Scientist of ARL, Dr. Kott was the Chief of the Network Science Division at ARL, leading a division focused on innovative basic and applied research, threat analysis, technology transition and security operations in computer, communications, information, and social networks; formulating and executing a broad range of internal and extramural research programs. Earlier, Dr. Kott served as a Program Manager at Defense Advanced Research Projects Agency (DARPA), where he was responsible for management of multiple, large-scale R&D projects. Kott¿s earlier positions included Director of Research and Development at Carnegie Group, Pittsburgh, PA. There, his work focused on novel information technology approaches, such as Artificial Intelligence, to complex problems in engineering design, and planning and control in manufacturing, telecommunications and aviation industries. Dr. Kott earned his PhD in Mechanical Engineering from the University of Pittsburgh, Pittsburgh, PA, in 1989, where he researched AI approaches to invention of complex systems. He received the Secretary of Defense Exceptional Public Service Award, in October 2008. He published over 100 technical papers and served as the co-author and editor of twelve books.
Chapter. 1. Autonomous Intelligent Cyber-defense Agent: Introduction and Overview
Chapter. 2. Alternative Architectural Approaches
Chapter. 3. Perception of Environment
Chapter. 4. Perception of Cyber Threats
Chapter. 5. Situational Understanding and Diagnostics
Chapter. 6. Learning about the Adversary
Chapter. 7. Response Planning
Chapter. 8. Recovery Planning
Chapter. 9. Strategic Cyber Camouflage
Chapter. 10. Adaptivity & Antifragility
Chapter. 11. Negotiation and Collaboration
Chapter. 12. Human Interactions
Chapter. 13. Testing and Measurements
Chapter. 14. Deployment and Operation
Chapter. 15. Command in AICA-intensive Operations
Chapter. 16. Risk Management
Chapter. 17. Policy Issues
Chapter. 18. Development Challenges
Chapter. 19. Case Study A: A Prototype Autonomous Intelligent Cyber-defense Agent
Chapter. 20. Case Study B: AI Agents for Tactical Edge
Chapter. 21. Case Study C: the Sentinel Agents