| 书目名称 | Machine Learning in Cyber Trust | | 副标题 | Security, Privacy, a | | 编辑 | Philip S. Yu,Jeffrey J. P.‘Tsai | | 视频video | | | 概述 | Provides the reader with an overview of machine learning methods.Demonstrates how machine learning is used to deal with the security, reliability, performance, and privacy of cyber-based systems.Prese | | 图书封面 |  | | 描述 | .Many networked computer systems are far too vulnerable to cyber attacks that can inhibit their functioning, corrupt important data, or expose private information. Not surprisingly, the field of cyber-based systems is a fertile ground where many tasks can be formulated as learning problems and approached in terms of machine learning algorithms...This book contains original materials by leading researchers in the area and covers applications of different machine learning methods in the reliability, security, performance, and privacy issues of cyber space. It enables readers to discover what types of learning methods are at their disposal, summarizing the state-of-the-practice in this significant area, and giving a classification of existing work...Those working in the field of cyber-based systems, including industrial managers, researchers, engineers, and graduate and senior undergraduate students will find this an indispensable guide in creating systems resistant to and tolerant of cyber attacks.. | | 出版日期 | Book 20091st edition | | 关键词 | Spam; Web security; classification; control; cyber terrorism; intrusion detection; learning; learning algor | | 版次 | 1 | | doi | https://doi.org/10.1007/978-0-387-88735-7 | | isbn_softcover | 978-1-4419-4698-0 | | isbn_ebook | 978-0-387-88735-7 | | copyright | Springer-Verlag US 2009 |
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发表于 2025-3-21 20:00:39
