| 书目名称 | Policy-Based Autonomic Data Governance |
| 编辑 | Seraphin Calo,Elisa Bertino,Dinesh Verma |
| 视频video | |
| 概述 | Written by experts in the field.State-of-the-art research.Addresses research challenges on policy-based management systems |
| 丛书名称 | Lecture Notes in Computer Science |
| 图书封面 |  |
| 描述 | .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 |
| 出版日期 | Book 2019 |
| 关键词 | anomaly detection; artificial intelligence; complex systems; computer crime; computer networks; data mini |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-030-17277-0 |
| isbn_softcover | 978-3-030-17276-3 |
| isbn_ebook | 978-3-030-17277-0Series ISSN 0302-9743 Series E-ISSN 1611-3349 |
| issn_series | 0302-9743 |
| copyright | Springer Nature Switzerland AG 2019 |
发表于 2025-3-21 19:04:17
