| 书目名称 | Information Fusion for Cyber-Security Analytics |
| 编辑 | Izzat M Alsmadi,George Karabatis,Ahmed Aleroud |
| 视频video | |
| 概述 | Helps readers understand how combining machine learning and reasoning techniques aids in creating attack prediction models with higher accuracy;.Provides information on utilizing several existing appl |
| 丛书名称 | Studies in Computational Intelligence |
| 图书封面 |  |
| 描述 | .This book highlights several gaps that have not been addressed in existing cyber security research. It first discusses the recent attack prediction techniques that utilize one or more aspects of information to create attack prediction models. The second part is dedicated to new trends on information fusion and their applicability to cyber security; in particular, graph data analytics for cyber security, unwanted traffic detection and control based on trust management software defined networks, security in wireless sensor networks & their applications, and emerging trends in security system design using the concept of social behavioral biometric. The book guides the design of new commercialized tools that can be introduced to improve the accuracy of existing attack prediction models. Furthermore, the book advances the use of Knowledge-based Intrusion Detection Systems (IDS) to complement existing IDS technologies. It is aimed towards cyber security researchers.. |
| 出版日期 | Book 2017 |
| 关键词 | Cyber security; Attack prediction models; Information fusion; Information Fusion for Security Analytics |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-319-44257-0 |
| isbn_softcover | 978-3-319-83023-0 |
| isbn_ebook | 978-3-319-44257-0Series ISSN 1860-949X Series E-ISSN 1860-9503 |
| issn_series | 1860-949X |
| copyright | Springer International Publishing Switzerland 2017 |
发表于 2025-3-21 17:39:35
