TY  - BOOK
AU  - Lobo,Victor
AU  - Correia,Anacleto
TI  - Applications of machine learning and deep learning for privacy and cybersecurity
T2  - Advances in information security, privacy, and ethics (AISPE) book series
SN  - 9781799894322
AV  - TK5105.59 .A67 2022
U1  - 005.8 23/eng/20211207
PY  - 2022///]
CY  - Hershey, PA
PB  - Information Science Reference, an imprint of IGI Global
KW  - Computer networks
KW  - Security measures
KW  - Data processing
KW  - Computer security
KW  - Deep learning (Machine learning)
KW  - fast
KW  - Electronic books
N1  - 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
N2  - "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"--
UR  - https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=3380199
ER  -