Handbook of Research on Machine and Deep Learning Applications for Cyber Security (Advances in Information Security, Privacy, and Ethics)

Cover
Title Page
Copyright Page
Book Series
List of Contributors
Table of Contents
Detailed Table of Contents
Foreword
Preface
Acknowledgment
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
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
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
Compilation of References
About the Contributors
Index