Policy-Based Autonomic Data Governance

Advances in artificial intelligence, sensor computing, robotics, and mobile systems are making autonomous systems a reality. At the same time, the influence of edge computing is leading to more distributed architectures incorporating more autonomous elements. The flow of information is critical in such environments, but the real time, distributed nature of the system components complicates the data protection mechanisms. Policy-based management has proven useful in simplifying the complexity of management in domains like networking, security, and storage; it is expected that many of those benefits would carry over to the task of managing big data and autonomous systems.

Systems, use-cases and foundational principles underlying generative policies.- AGENP: An ASGrammar-based GENerative Policy Framework.- Value of Information: Quantification and Application to Coalition Machine Learning.- Self-Generating Policies for Machine Learning in Coalition Environments.- Approaches and techniques for safe autonomy.- Can N-version Decision-Making Prevent the Rebirth of HAL 9000 in Military Camo? Using a "Golden Rule" Threshold to Prevent AI Mission Individuation.- Simulating User Activity for Assessing Effect of Sampling on DB Activity Monitoring Anomaly Detection.- FADa-CPS - Faults and Attacks Discrimination in Cyber Physical Systems.- Techniques and Systems for Anomaly Detection in Database Systems.- Policies and autonomy in federated and distributed environments.- Towards Enabling trusted Artificial Intelligence via Blockchain.- Secure Model Fusion for Distributed Learning using Partial Homomorphic Encryption.- Policy based Identification of IoT Devices' Vendor and Type by DNS Traffic Analysis.- Redundancy for the Autonomic Management of Fault-tolerance in the Internet of Things.