Полное описание

Handbook of research on machine and deep learning applications for cyber security / IGI Global, ; Padmavathi Ganapathi and D. Shanmugapriya, editors. - Hershey, PA : IGI Global, [2020]. - 15 p. - URL: https://cat.gpntb.ru/?id=FT/ShowFT&sid=91c0985ed446aa15a2df45ae62ccbaba. - Includes bibliographical references and index. - ISBN 1522596135. - ISBN 9781522596141. - ISBN 1522596143. - ISBN 9781522596134. - DOI 10.4018/978-1-5225-9611-0. - Текст : электронный.
Содержание:
Chapter 1. Review on intelligent algorithms for cyber security -- Chapter 2. A review on cyber security mechanisms using machine and deep learning algorithms -- Chapter 3. Review on machine and deep learning applications for cyber security -- Chapter 4. Applications of machine learning in cyber security domain -- Chapter 5. Applications of machine learning in cyber security -- Chapter 6. Malware and anomaly detection using machine learning and deep learning methods -- Chapter 7. Cyber threats detection and mitigation using machine learning -- Chapter 8. Hybridization of machine learning algorithm in intrusion detection system -- Chapter 9. A hybrid approach to detect the malicious applications in android-based smartphones using deep learning -- Chapter 10. Anomaly-based intrusion detection: adapting to present and forthcoming communication environments -- Chapter 11. Traffic analysis of UAV networks using enhanced deep feed forward neural networks (EDFFNN) -- Chapter 12. A novel biometric image enhancement approach with the hybridization of undecimated wavelet transform and deep autoencoder -- Chapter 13. A 3D-cellular automata-based publicly-verifiable threshold secret sharing -- Chapter 14. Big data analytics for intrusion detection: an overview -- Chapter 15. Big data analytics with machine learning and deep learning methods for detection of anomalies in network traffic -- Chapter 16. A secure protocol for high-dimensional big data providing data privacy -- Chapter 17. A review of machine learning methods applied for handling zero-day attacks in the cloud environment -- Chapter 18. Adoption of machine learning with adaptive approach for securing CPS -- Chapter 19. Variable selection method for regression models using computational intelligence techniques.
Рубрики:
Computer networks -- Security measures
Computer security -- Data processing
Computer crimes -- Prevention -- Data processing
Machine learning

Аннотация: This book explores the use of machine learning and deep learning applications in the areas of cyber security and cyber-attack handling mechanisms.
Доп. точки доступа:
Ganapathi, P.\editor.\
Shanmugapriya, D.\editor.\
IGI Global,

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