http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
Applications of machine learning and deep learning for privacy and cybersecurity
1 online resource ( xxi, 271 pages) : illustrations (chiefly color).
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.
Includes bibliographical references and index.
Hershey, PA : Information Science Reference, an imprint of IGI Global, [2022]
Advances in information security, privacy, and ethics (AISPE) book series