Applications of machine learning and deep learning for privacy and cybersecurity /
Victor Lobo, Anacleto Correia.
- 1 online resource (xxi, 271 pages) : illustrations (chiefly color).
- Advances in information security, privacy, and ethics (AISPE) book series .
- Advances in information security, privacy, and ethics (AISPE) book series. .
Includes bibliographical references and index.
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.
"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"--
9781799894322 1799894320 9781799894339 1799894339
2021052895
Computer networks--Security measures--Data processing. Computer security. Deep learning (Machine learning) Computer security. Deep learning (Machine learning)