Blockchain and Machine Learning for IoT Security [Hardcover]

1.?Google trend analysis of airport passenger throughputs: case study of Murtala Muhammed International Airpor 2.?Blockchain Technology Overview: Architecture, proposed and Future Trends 3.?Innovative Approach for Optimized IoT Security based on Spatial Network 4.?The combination of blockchain and Internet of Things (IoT) Applications, Opportunities and Challenges for Industry 5.?Security Issues in Internet of Medical Things 6.?Intrusion detection Framework using AdaBoost algorithm and Chi-squared technique 7.?A Collaborative Intrusion Detection Approach Based on Deep Learning and Blockchain 8.?GVGB-IDS: An Intrusion Detection System using Graphic Visualization and Gradient Boosting for cloud Monitoring 9.?Design and Implementation of Intrusion Detection Model with Machine Learning Techniques for IoT Security

This book discusses various recent techniques and solutions related to IoT deployment, especially security, and privacy.?It addresses a variety of subjects, including a comprehensive overview of the IoT, and covers in detail the security challenges at each layer.

Prof. Mourade Azrour received his PhD from Faculty of sciences and Techniques, Moulay Ismail University of Meknes, Morocco. He has received his MS in computer and distributed systems from Faculty of Sciences, Ibn Zouhr University, Agadir, Morocco in 2014. Mourade currently works as computer sciences professor at the Department of Computer Science, Faculty of Sciences and Techniques, Moulay Ismail University of Mekn?s. His research interests include Authentication protocol, Computer Security, Internet of things, Smart systems, Machine learning and so ones.

Prof. Jamal Mabrouki received his PhD in Process and Environmental Engineering at Mohammed V University in Rabat, specializing in artificial intelligence and smart automatic systems. He completed the Bachelor of Science in Physics and ChemistlCP