Policy-Based Autonomic Data Governance

• Corporate Author: SpringerLink (Online service)
• Other Authors: Calo, Seraphin (Editor, http://id.loc.gov/vocabulary/relators/edt), Bertino, Elisa (Editor, http://id.loc.gov/vocabulary/relators/edt), Verma, Dinesh (Editor, http://id.loc.gov/vocabulary/relators/edt)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Edition: 1st ed. 2019.
• Series: Information Systems and Applications, incl. Internet/Web, and HCI ; 11550
• Subjects: Computer security.; Computer communication systems.; Artificial intelligence.; Computer hardware.; Computers.; Principles and Models of Security.; Computer Communication Networks.; Artificial Intelligence.; Computer Hardware.; Information Systems and Communication Service.

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 s...

Table of Contents:

• 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.