| 書(shū)目名稱 | Machine Learning Techniques for Cybersecurity |
| 編輯 | Elisa Bertino,Sonam Bhardwaj,Ashraf Y. Mahgoub |
| 視頻video | http://file.papertrans.cn/621/620423/620423.mp4 |
| 概述 | Provides a detailed taxonomy of security tasks and related ML-based defenses.Uses case studies to illuminate instances in which ML-based defenses would have prevented or mitigated these attacks.Discus |
| 叢書(shū)名稱 | Synthesis Lectures on Information Security, Privacy, and Trust |
| 圖書(shū)封面 |  |
| 描述 | This book explores machine learning (ML) defenses against the many cyberattacks that make our workplaces, schools, private residences, and critical infrastructures vulnerable as a consequence of the dramatic increase in botnets, data ransom, system and network denials of service, sabotage, and data theft attacks. The use of ML techniques for security tasks has been steadily increasing in research and also in practice over the last 10 years. Covering efforts to devise more effective defenses, the book explores security solutions that leverage machine learning (ML) techniques that have recently grown in feasibility thanks to significant advances in ML combined with big data collection and analysis capabilities. Since the use of ML entails understanding which techniques can be best used for specific tasks to ensure comprehensive security, the book provides an overview of the current state of the art of ML techniques for security and a detailed taxonomy of security tasks and corresponding ML techniques that can be used for each task. It also covers challenges for the use of ML for security tasks and outlines research directions.?. While many recent papers have proposed approaches for s |
| 出版日期 | Book 2023 |
| 關(guān)鍵詞 | Cybersecurity; IT Security Awareness; Machine Learning; Anomaly Detection; Intrusion Detection; ML-based |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-031-28259-1 |
| isbn_softcover | 978-3-031-28261-4 |
| isbn_ebook | 978-3-031-28259-1Series ISSN 1945-9742 Series E-ISSN 1945-9750 |
| issn_series | 1945-9742 |
| copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
|Archiver|手機(jī)版|小黑屋|
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