Blockchain and Machine Learning for Iot Security

The Internet of Things (IoT) involves physical devices, cars, household appliances, and any other physical appliance equipped with sensors, software, and network connections to gather and communicate data. Nowadays, this technology is embedded in everything from simple smart devices, to wearable equipment, to complex industrial machinery and transportation infrastructures. On the other hand, IoT equipment has been designed without considering security issues. Consequently, there are many challenges in terms of protection against IoT threats, which can lead to distressing situations. In fact, unlike other technological solutions, there are few standards and guidelines governing the protection of IoT technology. Moreover, few users are aware of the risks associated with IoT systems.

Hence, Blockchain and Machine Learning for IoT Security discusses various recent techniques and solutions related to IoT deployment, especially security and privacy. This book addresses a variety of subjects, including a comprehensive overview of the IoT, and covers in detail the security challenges at each layer by considering how both the architecture and underlying technologies are employed. As acknowledged experts in the field, the authors provide remediation solutions for impaired security, as well as mitigation methods, and offer both prevention and improvement suggestions.

Key Features:

• Offers a unique perspective on IoT security by introducing Machine Learning and Blockchain solutions
• Presents a well-rounded overview of the most recent advances in IoT security and privacy
• Discusses practical solutions and real-world cases for IoT solutions in various areas
• Provides solutions for securing IoT against various threats
• Discusses Blockchain technology as a solution for IoT

This book is designed to provide all the necessary knowledge for young researchers, academics, and industry professionals who want to understand the advantages of artificial intelligence technology, machine learning, data analysis methodology, and Blockchain for securing IoT technologies.

「物聯網（IoT）」涉及物理設備、汽車、家用電器以及任何配備傳感器、軟體和網絡連接以收集和傳輸數據的物理設備。如今，這項技術已嵌入到從簡單的智能設備到可穿戴設備，再到複雜的工業機械和運輸基礎設施等各種物品中。然而，物聯網設備在設計時並未考慮到安全問題。因此，在保護物聯網威脅方面存在著許多挑戰，這可能導致令人不安的情況。事實上，與其他技術解決方案不同，目前對物聯網技術保護的標準和指南很少。此外，很少有用戶意識到與物聯網系統相關的風險。

因此，《物聯網安全的區塊鏈和機器學習》討論了與物聯網部署特別是安全和隱私相關的各種最新技術和解決方案。本書涵蓋了多個主題，包括對物聯網的全面概述，並詳細介紹了每個層面的安全挑戰，考慮了架構和底層技術的應用方式。作為該領域的知名專家，作者提供了解決受損安全性的解決方案，以及緩解方法，並提供了預防和改進建議。

主要特點：
- 通過引入機器學習和區塊鏈解決方案，提供了對物聯網安全的獨特觀點
- 提供了物聯網安全和隱私最新進展的全面概述
- 討論了各個領域中物聯網解決方案的實際解決方案和實際案例
- 提供了保護物聯網免受各種威脅的解決方案
- 討論了區塊鏈技術作為物聯網解決方案的一種方法

本書旨在為年輕研究人員、學者和業界專業人士提供所有必要的知識，以了解人工智能技術、機器學習、數據分析方法和區塊鏈在保護物聯網技術方面的優勢。

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 Meknès. 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 Chemistry with honors from Hassan II University in Casablanca, Morocco and the engineer in Environment and smart system. His research is on intelligent monitoring, control, and management systems and more particularly on sensing and supervising remote intoxication systems, smart self-supervised systems and recurrent neural networks.

Prof. Azidine Guezzaz received his Ph.D from Ibn Zohr University Agadir, Morocco in 2018. He obtained his Master in computer and distributed systems from Faculty of Sciences, Ibn Zouhr University, Agadir, Morocco in 2013. He is currently an associate professor of computer science and mathematics at Cadi Ayyad University Marrakech, Morocco. His main field of research interest is computer security, cryptography, artificial intelligence, intrusion detection and smart cities.

Prof. Said Benkirane obtained his Engineering Degree in Networks and Telecommunications in 2004 from INPT in Rabat, Morocco. He obtained his Master degree in Computer and Network Engineering in 2006 at the USMBA University of Fez and his PhD in Computer Science in 2013 at the UCD University of El-JadidaMorocco. He worked as Professor from 2014 at ESTE Cadi Ayyad University. His areas of research are Artificial Intelligence, Multi Agents, and Systems Security.

Prof. Mourade Azrour在摩洛哥梅克內斯穆萊伊斯梅爾大學的科學與技術學院獲得博士學位。他於2014年在摩洛哥阿加迪爾伊本·祖赫爾大學的科學學院獲得計算機和分散系統的碩士學位。Mourade目前在梅克內斯穆萊伊斯梅爾大學的計算機科學系擔任教授。他的研究興趣包括身份驗證協議、計算機安全、物聯網、智能系統、機器學習等。

Prof. Jamal Mabrouki在拉巴特穆罕默德五世大學獲得了環境工程博士學位，專攻人工智能和智能自動系統。他在摩洛哥卡薩布蘭卡哈桑二世大學以優異成績獲得物理和化學學士學位，並獲得環境和智能系統工程師學位。他的研究主要集中在智能監控、控制和管理系統，特別是遠程感應和監控中毒系統、智能自我監督系統和循環神經網絡。

Prof. Azidine Guezzaz在摩洛哥阿加迪爾伊本·祖赫爾大學於2018年獲得博士學位。他於2013年在摩洛哥阿加迪爾伊本·祖赫爾大學的科學學院獲得計算機和分散系統的碩士學位。他目前是摩洛哥馬拉喀什卡迪阿亞德大學的計算機科學和數學副教授。他的主要研究領域包括計算機安全、密碼學、人工智能、入侵檢測和智能城市。

Prof. Said Benkirane於2004年在摩洛哥拉巴特INPT獲得網絡和電信工程學位。他於2006年在摩洛哥費斯USMBA大學獲得計算機和網絡工程碩士學位，並於2013年在摩洛哥埃爾賈迪達UCD大學獲得計算機科學博士學位。他於2014年開始在卡迪阿亞德大學的ESTE擔任教授。他的研究領域包括人工智能、多智能體和系統安全。