Traditional computer system deployments involved a 'Design System' first and then 'Design Security' approach to meet application user demands. This approach is ill-suited to deploy today's increasingly IoT/cloud-based system architectures that are being adopted by networked consumer applications with very large user bases such as: manufacturing, healthcare, public safety and energy. Infrastructure engineers and application developers are now forced to take a parallel approach of 'Design Security' along with 'Design System'. While doing so, a major challenge for them is to use intelligent methods that leverage AI/ML in their design efforts to integrate sophisticated cyber defense techniques such as 'defense by pretense' to outsmart the adversary. In this talk, intelligent cyber deception methods will be presented that utilize AI/ML algorithms & technologies such as software-defined networking and other public cloud resources in the context of different IoT/cloud-based consumer applications. We conclude by presenting a futuristic vision of next-generation cybersecurity where intelligent agents utilize knowledge bases and game strategies to defend IoT/cloud-based systems autonomously, with minimal or no human intervention.
Dr. Prasad Calyam is the Greg L. Gilliom professor of cybersecurity in the Department of Electrical Engineering and Computer Science at University of Missouri-Columbia, and director of the Center for Cyber Education, Research and Infrastructure (Mizzou CERI).