• Applications of machine learning and deep learning for privacy and cybersecurity[electronic resource] /
  • 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
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