| 书目名称 | Machine Learning and Data Mining for Computer Security |
| 副标题 | Methods and Applicat |
| 编辑 | Marcus A. Maloof |
| 视频video | |
| 概述 | No similar work exists.Diverse and current view of area.Also provides introductory background chapter for readers who are unfamiliar with inductive approaches.Designed to help such readers understand |
| 丛书名称 | Advanced Information and Knowledge Processing |
| 图书封面 |  |
| 描述 | ."Machine Learning and Data Mining for Computer Security" provides an overview of the current state of research in machine learning and data mining as it applies to problems in computer security. This book has a strong focus on information processing and combines and extends results from computer security. ...The first part of the book surveys the data sources, the learning and mining methods, evaluation methodologies, and past work relevant for computer security. The second part of the book consists of articles written by the top researchers working in this area. These articles deals with topics of host-based intrusion detection through the analysis of audit trails, of command sequences and of system calls as well as network intrusion detection through the analysis of TCP packets and the detection of malicious executables....This book fills the great need for a book that collects and frames work on developing and applying methods from machine learning and data mining to problems in computer security.. |
| 出版日期 | Book 2006 |
| 关键词 | Anomaly detection; Audit trail analysis; Computer forensics; Frames; behavior; clustering; computer; comput |
| 版次 | 1 |
| doi | https://doi.org/10.1007/1-84628-253-5 |
| isbn_softcover | 978-1-84996-544-6 |
| isbn_ebook | 978-1-84628-253-9Series ISSN 1610-3947 Series E-ISSN 2197-8441 |
| issn_series | 1610-3947 |
| copyright | Springer-Verlag London 2006 |
发表于 2025-3-21 19:25:44
