| 書目名稱 | Machine Learning Approaches in Cyber Security Analytics |
| 編輯 | Tony Thomas,Athira P. Vijayaraghavan,Sabu Emmanuel |
| 視頻video | http://file.papertrans.cn/621/620387/620387.mp4 |
| 概述 | Includes applications of the latest machine learning algorithms in cyber security.Discusses how applications in cyber security analytics complement machine learning research.Provides the latest resear |
| 圖書封面 |  |
| 描述 | .This book introduces various machine learning methods for cyber security analytics. With an overwhelming amount of data being generated and transferred over various networks, monitoring everything that is exchanged and identifying potential cyber threats and attacks poses a serious challenge for cyber experts. Further, as cyber attacks become more frequent and sophisticated, there is a requirement for machines to predict, detect, and identify them more rapidly. Machine learning offers various tools and techniques to automate and quickly predict, detect, and identify cyber attacks.. |
| 出版日期 | Book 2020 |
| 關(guān)鍵詞 | Malware; Anomaly Detection; Biometrics; Machine Intelligence; Cyber Security; data structures |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-981-15-1706-8 |
| isbn_softcover | 978-981-15-1708-2 |
| isbn_ebook | 978-981-15-1706-8 |
| copyright | Springer Nature Singapore Pte Ltd. 2020 |
|Archiver|手機版|小黑屋|
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