Applications of machine learning and deep learning for privacy and cybersecurity /

Bibliographic Details
Corporate Author:	IGI Global Online
Other Authors:	Lobo, Victor, 1965- (Editor), Correia, Anacleto, 1961- (Editor)
Format:	eBook
Language:	English
Published:	Hershey, PA : Information Science Reference, an imprint of IGI Global, [2022]
Series:	Advances in information security, privacy, and ethics (AISPE) book series.
Subjects:	Computer networks > Security measures > Data processing. Computer security. Deep learning (Machine learning) Electronic books.
Online Access:	Connect to the full text of this electronic book

Table of Contents:

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.