Machine Learning and Cognitive Science Applications in Cyber Security


Machine Learning and Cognitive Science Applications in Cyber Security (Advances in Computational Intelligence and Robotics)
Authors: Muhammad Salman Khan
ISBN-10: 1522581006
ISBN-13: 9781522581000
Edition 版次: 1
Publication Date 出版日期: 2019-05-15
Print Length 页数: 321 pages


Book Description
By finelybook

In the past few years,with the evolution of advanced persistent threats and mutation techniques,sensitive and damaging information from a variety of sources have been exposed to possible corruption and hacking. Machine learning,artificial intelligence,predictive analytics,and similar disciplines of cognitive science applications have been found to have significant applications in the domain of cyber security.
Machine Learning and Cognitive Science Applications in Cyber Security examines different applications of cognition that can be used to detect threats and analyze data to capture malware. Highlighting such topics as anomaly detection,intelligent platforms,and triangle scheme,this publication is designed for IT specialists,computer engineers,researchers,academicians,and industry professionals interested in the impact of machine learning in cyber security and the methodologies that can help improve the performance and reliability of machine learning applications.
Contents
Detailed Contents
Preface
Acknowledgment
Chapter 1: Healthcare Information Security in the Cyber World
Chapter 2: A Machine Learning Approach for Predicting Bank
Customer Behavior in the Banking Industry
Chapter 3: Advanced-Level Security in Network and Real-Time
Applications Using Machine Learning Approaches
Chapter 4: New Tools for Cyber Security Using Blockchain Technology
and Avatar-Based Management Technique
Chapter 5: Machine Learning Application With Avatar-Based
Management Security to Reduce Cyber Threat
Chapter 6: Machine Learning With Avatar-Based Management of
Sleptsov Net-Processor Platform to Improve Cyber Security
Chapter 7: Intelligent Log Analysis Using Machine and Deep Learning
Chapter 8: Password-Less Authentication
Chapter 9: A Novel Bat Algorithm for Line-of-Sight Localization in
Internet of Things and Wireless Sensor Network
Chapter 10: Ensemble Learning Mechanisms for Threat Detection
Compilation of References
About the Contributors

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