Overview
- Written by experts in the field
- State-of-the-art research
- Addresses research challenges on policy-based management systems
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11550)
Part of the book sub series: Information Systems and Applications, incl. Internet/Web, and HCI (LNISA)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (11 chapters)
-
Front Matter
-
Systems, Use-Cases and Foundational Principles Underlying Generative Policies
-
Front Matter
-
-
Approaches and Techniques for Safe Autonomy
-
Front Matter
-
-
Policies and Autonomy in Federated and Distributed Environments
-
Front Matter
-
-
Back Matter
Keywords
About this book
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.
This book aims at providing an overview of recent work and identifying challenges related to the design of policy-based approaches for managing big data and autonomous systems. An important new direction explored in the book is to make the major elements of the system self-describing and self-managing. This would lead to architectures where policy mechanisms are tightly coupled with the system elements. In such integrated architectures, we need new models for information assurance, traceability of information, and better provenance on information flows. In addition when dealing with devices with actuation capabilities and, thus, being able to make changes to physical spaces, safety is critical. With an emphasis on policy-based mechanisms for governance of data security and privacy, and for safety assurance, the papers in this volume follow three broad themes: foundational principles and use-cases for the autonomous generation of policies; safe autonomy; policies and autonomy in federated environments.
Editors and Affiliations
Bibliographic Information
Book Title: Policy-Based Autonomic Data Governance
Editors: Seraphin Calo, Elisa Bertino, Dinesh Verma
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-17277-0
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Softcover ISBN: 978-3-030-17276-3Published: 25 April 2019
eBook ISBN: 978-3-030-17277-0Published: 24 April 2019
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XIV, 227
Number of Illustrations: 90 b/w illustrations, 36 illustrations in colour
Topics: Principles and Models of Security, Computer Communication Networks, Artificial Intelligence, Computer Hardware, Information Systems and Communication Service