Edge Intelligence and Analytics for Internet of Things
暫譯: 物聯網的邊緣智能與分析

邊緣計算與智能是一個新的技術學科，研究和開發理論、方法、技術和應用系統，以提供快速且高效的處理和智能決策，利用從物聯網（IoT）系統生成的大數據。邊緣計算與智能使物聯網（IoT）系統能夠緩解物聯網設備的資源限制，並促進不同應用（如智慧城市、智慧電網、智慧家庭、智慧醫療系統、智慧視頻監控、電子健康等）的大規模物聯網系統部署。基於邊緣計算的物聯網架構在物聯網系統的邊緣提供計算和存儲資源，並有助於減少終端用戶的延遲。為了促進對大量物聯網大數據的高效處理和分析，可以在物聯網系統的邊緣使用人工智能（AI）技術來提高響應時間。

由於物聯網設備在開放環境中的部署及其通過不穩定和不可靠的無線通道與其他物聯網設備的互動，以及邊緣節點靠近物聯網系統的放置，物聯網設備將為惡意攻擊者提供許多機會，通過共謀攻擊、拒絕服務（DoS）攻擊和其他類型的攻擊來妥協它們。因此，利用各種最新的人工智能技術在邊緣節點分析網絡流量和物聯網數據將解決各種問題，例如物聯網數據中的異常檢測、數據中毒攻擊以及物聯網系統的其他安全和隱私問題。在本書中，我們將提供邊緣計算的基本概念、利用先進的機器學習和深度學習模型的邊緣智能、基於邊緣計算的物聯網系統架構，以及針對物聯網系統的邊緣計算基礎的網絡威脅情報解決方案的概述。

本書的主要目的是系統性地收集和呈現邊緣計算和邊緣智能在物聯網系統中的最新趨勢的高質量研究成果。本書將強調並促進對邊緣計算和邊緣智能、邊緣智能啟用的安全和隱私方法、先進的人工智能技術（如機器學習/深度學習、聯邦學習）在物聯網數據分析中的應用以及解決物聯網系統各種問題的更深入理解。從安全和隱私的角度來看，邊緣計算、人工智能（AI）和基於物聯網的工程應用的發展面臨著許多挑戰。本書將幫助識別我們面臨許多挑戰的領域，並應用邊緣計算、先進的機器學習和深度學習技術來設計和開發基於邊緣計算的物聯網系統。

Govind P. Gupta is currently working as an Associate Professor in the Dept. of IT, National Institute of Technology Raipur, India. He has received his PhD in computer science and engineering from the Indian Institute of Technology, Roorkee, India. He has more than 15 years of teaching and research experience. He has made practical and theoretical contributions in big data processing and analytics, Wireless Sensor Network (WSN), Internet of Things (IoT), and cyber security domains, and his research has a significant impact on big data analytics, WSN, IoT, information, and network security against cyberattacks. He has published more than 150 research papers in reputed peer-reviewed journals and conferences of international reputes. He has received several R&D projects from prestigious funding organizations such as SERB (MATRIX), SERB(CRG) and C3iHub (IIT Kanpur). He is an active reviewer of various journals such as IEEE Internet of Things, IEEE Sensors Journal, IEEE Transactions on Green Communications, Elsevier Computer Networks, Ad-Hoc Networks, Computer Communications, and Springer Wireless Networks. His current research interests include IoT, IoT security, Edge Intelligence, network security, big IoT data analytics, blockchain-based application development for IoT, and enterprise blockchain. Dr. Gupta was recently included in the Global Alper-Doger (AD) Scientific Index 2024 list. He was also included in the 2024, 2023, 2022, and 2021 Stanford University lists of "Worlds Top 2%" scientists. He is a professional member of the IEEE and ACM.

Prof. Brij B. Gupta is working as Director of International Center for AI and Cyber Security Research and Innovations, and Distinguished Professor with the Department of Computer Science and Information Engineering (CSIE), Asia University, Taiwan. In more than 20 years of his professional experience, he published over 600 papers in journals/conferences including 35 books and 12 Patents with over 35,000 citations. He has received numerous national and international awards including Canadian Commonwealth Scholarship (2009), Faculty Research Fellowship Award (2017), MeitY, GoI, IEEE GCCE outstanding and WIE paper awards and Best Faculty Award (2018 & 2019), respectively. Prof. Gupta was selected for Clarivate Web of Science Highly Cited Researchers in Computer Science (top 0.1% researchers in the world) consecutively in 2022 and 2023. He was also selected in Stanford University's ranking of the world's top 2% scientists consecutively from 2019 to 2024. He is also a visiting/adjunct professor with several universities worldwide. Additionally, he is an IEEE Senior Member (2017) and was also selected as 2021 Distinguished Lecturer in IEEE CTSoc. Prof. Gupta was also a member of the Board of Governors, IEEE Consumer Technology Society (2022-2024). Prof. Gupta also leads IJSWIS, IJSSCI, and IJCAC as Editor-in-Chief. He also now serves as lead editor of a book series with CRC and IET press. He has been TPC member in more than 150 international conferences, and has been Associate/Guest Editor of various journals and publications. His research interests include information security, cyber physical systems, cloud computing, blockchain technologies, intrusion detection, AI, social media and networking.

Kumkum Garg obtained her bachelor of engineering (BE) and master of engineering (ME) from IIT Roorkee, India, and PhD from Imperial College of Science and Technology, University of London, UK. Her research interests are in computer networks, mobile computing, and AI. She has taught at the prestigious IIT Roorkee for 35 years. She has served as director at Manipal University and as the Dean, Faculty of Informatics, Photonics, and Robotics at Bhartiya Skill Development University, Jaipur, India. Currently, she is Honorary Professor at The North Cap University, Gurugram, India. She was awarded the Apple Distinguished Educator (ADE) and the Institution of Engineers (I) award. She has a patent for her work on mobile agent development, from the Government of India. She has also authored a book titled Mobile Computing--Theory & Practice, published by Pearson Education. Dr. Garg is Senior Member of IEEE, Fellow of Institution of Engineers (I), and Life Member of various professional societies. She has more than 47 years of experience in teaching and research and has over 135 research papers/publications in international and national journals and conferences.

Kwok Tai Chui received a BE in electronic and communication engineering with a business intelligence minor and PhD in electronic engineering from City University of Hong Kong. He has industry experience as a senior data scientist in an IoT company. He is with the Department of Technology, School of Science and Technology, at Hong Kong Metropolitan University as an assistant professor. He has more than 90 research publications, including edited books, book chapters, journal papers, and conference papers. He has served in various editorial positions in ESCI/SCIE-listed journals, including managing editor of the International Journal on Semantic Web and Information Systems, topic editor of Sensors, and associate editor of the International Journal of Energy Optimization and Engineering. His research interests include computational intelligence, data science, energy monitoring and management, intelligent transportation, smart metering, healthcare, machine learning algorithms, and optimization.

Govind P. Gupta 目前擔任印度國立技術學院 Raipur 資訊科技系的副教授。他在印度理工學院 Roorkee 獲得計算機科學與工程的博士學位，擁有超過 15 年的教學和研究經驗。他在大數據處理與分析、無線感測器網路 (WSN)、物聯網 (IoT) 和網路安全領域做出了實務和理論上的貢獻，他的研究對大數據分析、WSN、IoT、資訊及網路安全對抗網路攻擊有著顯著的影響。他在國際知名的同行評審期刊和會議上發表了超過 150 篇研究論文。他獲得了來自 SERB (MATRIX)、SERB (CRG) 和 C3iHub (IIT Kanpur) 等知名資助機構的多個研發項目。他是多個期刊的活躍審稿人，包括 IEEE Internet of Things、IEEE Sensors Journal、IEEE Transactions on Green Communications、Elsevier Computer Networks、Ad-Hoc Networks、Computer Communications 和 Springer Wireless Networks。他目前的研究興趣包括 IoT、IoT 安全、邊緣智能、網路安全、大型 IoT 數據分析、基於區塊鏈的 IoT 應用開發和企業區塊鏈。Dr. Gupta 最近被列入 2024 年全球 Alper-Doger (AD) 科學指數名單。他也連續被列入 2024、2023、2022 和 2021 年斯坦福大學的「世界前 2% 科學家」名單。他是 IEEE 和 ACM 的專業會員。

Prof. Brij B. Gupta 擔任亞洲大學計算機科學與資訊工程系的國際人工智慧與網路安全研究與創新中心主任及特聘教授。在超過 20 年的專業經驗中，他在期刊和會議上發表了超過 600 篇論文，包括 35 本書和 12 項專利，引用次數超過 35,000 次。他獲得了多項國內外獎項，包括加拿大英聯邦獎學金 (2009)、教職員研究獎學金 (2017)、MeitY, GoI、IEEE GCCE 傑出論文獎和 WIE 論文獎及最佳教職員獎 (2018 和 2019)。Prof. Gupta 連續在 2022 和 2023 年被選為 Clarivate Web of Science 計算機科學高被引研究者 (全球前 0.1% 研究者)。他也連續從 2019 到 2024 年被選入斯坦福大學的世界前 2% 科學家排名。他還是多所國際大學的訪問/兼任教授。此外，他是 IEEE 高級會員 (2017)，並於 2021 年被選為 IEEE CTSoc 的傑出講者。Prof. Gupta 也是 IEEE 消費者技術學會 (2022-2024) 理事會成員。他還擔任 IJSWIS、IJSSCI 和 IJCAC 的主編，並擔任 CRC 和 IET 出版社書籍系列的主編。他在超過 150 個國際會議中擔任 TPC 成員，並擔任多個期刊和出版物的副編輯/客座編輯。他的研究興趣包括資訊安全、網路物理系統、雲計算、區塊鏈技術、入侵檢測、人工智慧、社交媒體和網路。

Kumkum Garg 獲得印度 IIT Roorkee 的工程學士 (BE) 和工程碩士 (ME) 學位，並在英國倫敦帝國學院獲得博士學位。她的研究興趣包括計算機網路、行動計算和人工智慧。她在著名的 IIT Roorkee 教學 35 年。她曾擔任 Manipal 大學的主任，以及印度 Jaipur 的 Bharatiya Skill Development University 資訊學、光子學和機器人學院的院長。目前，她是印度 Gurugram 的 The North Cap University 的名譽教授。她獲得了 Apple 傑出教育者 (ADE) 和工程師協會 (I) 獎。她擁有一項關於行動代理開發的專利，來自印度政府。她還著有一本名為《行動計算——理論與實踐》的書，由 Pearson Education 出版。Dr. Garg 是 IEEE 的高級會員、工程師協會 (I) 的院士，以及多個專業社團的終身會員。她在教學和研究方面擁有超過 47 年的經驗，並在國際和國內期刊及會議上發表了超過 135 篇研究論文/出版物。

Kwok Tai Chui 獲得香港城市大學電子與通信工程學士學位，並輔修商業智能，隨後獲得電子工程博士學位。他在一家物聯網公司擔任高級數據科學家，擁有行業經驗。目前，他在香港都會大學科技學院擔任助理教授。他擁有超過 90 篇研究出版物，包括編輯書籍、書籍章節、期刊論文和會議論文。他曾在多個 ESCI/SCIE 列表的期刊中擔任編輯職位，包括國際語義網與資訊系統期刊的管理編輯、感測器的主題編輯，以及國際能源優化與工程期刊的副編輯。他的研究興趣包括計算智能、數據科學、能源監控與管理、智能交通、智能計量、醫療保健、機器學習演算法和優化。