紀錄類型: |
書目-電子資源
: Monograph/item
|
杜威分類號: |
005.8 |
書名/作者: |
Applications of machine learning and deep learning for privacy and cybersecurity/ Victor Lobo and Anacleto Correia, editors. |
其他作者: |
Lobo, Victor, |
出版者: |
Hershey, Pennsylvania : : IGI Global,, 2022. |
面頁冊數: |
1 online resource (271 p.) |
標題: |
Computer security. |
標題: |
Deep learning (Machine learning). |
標題: |
Machine learning. |
標題: |
Data mining. |
標題: |
Data protection. |
ISBN: |
9781799894322 (electronic bk.) |
ISBN: |
9781799894308 |
ISBN: |
1799894304 |
書目註: |
Includes bibliographical references and index. |
內容註: |
Chapter 1. User profiling using keystroke dynamics and rotation forest -- Chapter 2. Predictive modelling for financial fraud detection using data analytics: a gradient-boosting decision tree -- Chapter 3. Comprehensive overview of autonomous vehicles and their security against DDoS attacks -- Chapter 4. Application of machine learning to user behavior-based authentication in smartphone and web -- Chapter 5. The role of deception in securing our cyberspace: honeypots are a viable option -- Chapter 6. Holistic view on detecting DDoS attacks using machine learning -- Chapter 7. Masked transient effect ring oscillator physical unclonable function against machine learning attacks -- Chapter 8. Detecting bank financial fraud in South Africa using a logistic model tree -- Chapter 9. Innovative legitimate non-traditional doctorate programs in cybersecurity, engineering, and technology -- Chapter 10. Privacy preservation of image data with machine learning. |
摘要、提要註: |
"This comprehensive and timely book provides an overview of the field of Machine and Deep Learning in the areas of cybersecurity and privacy, followed by an in-depth view of emerging research exploring the theoretical aspects of machine and deep learning, as well as real-world implementations"-- |
電子資源: |
http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-9430-8 |