Industrial Internet of Things Security: Protecting Ai-Enabled Engineering Systems in Cloud and Edge Environments
暫譯: 工業物聯網安全：保護雲端與邊緣環境中的人工智慧驅動工程系統
Chawla, Sunil Kumar, Sharma, Neha, Elngar, Ahmed A.
相關主題
商品描述
The industrial landscape is changing rapidly, and so is global society. This change is driven by the growing adoption of the Industrial Internet of Things (IIoT) and artificial intelligence (AI) technologies. IIoT and AI are transforming the way industrial engineering is done, enabling new levels of automation, productivity, and efficiency. However, as IIoT and AI become more pervasive in the industrial world, they also offer new security risks that must be addressed to ensure the reliability and safety of critical systems.
Industrial Internet of Things Security: Protecting AI-Enabled Engineering Systems in Cloud and Edge Environments provides a comprehensive guide to IIoT security, covering topics such as network architecture, risk management, data security, and compliance. It addresses the unique security challenges that the cloud and edge environments pose, providing practical guidance for securing IIoT networks in these contexts. It includes numerous real-world case studies and examples, providing readers with practical insights into how IIoT security and AI-enabled industrial engineering are being implemented in various industries. Best practices are emphasized for the readers to ensure the reliability, safety, and security of their systems while also learning the latest developments in IIoT security for AI-enabled industrial engineering systems in this rapidly evolving field.
By offering step-by-step guidance for the implantation process along with best practices, this book becomes a valuable resource for practitioners and engineers in the areas of industrial engineering, IT, computer engineering, and anyone looking to secure their IIoT network against cyber threats.
商品描述(中文翻譯)
工業環境正在迅速變化，全球社會也隨之而變。這一變化是由於工業物聯網（Industrial Internet of Things, IIoT）和人工智慧（Artificial Intelligence, AI）技術的日益普及。IIoT 和 AI 正在改變工業工程的方式，使自動化、生產力和效率達到新的水平。然而，隨著 IIoT 和 AI 在工業界的普及，它們也帶來了新的安全風險，必須加以解決，以確保關鍵系統的可靠性和安全性。
《工業物聯網安全：保護雲端和邊緣環境中的 AI 驅動工程系統》提供了 IIoT 安全的全面指南，涵蓋了網路架構、風險管理、數據安全和合規性等主題。它針對雲端和邊緣環境所帶來的獨特安全挑戰，提供了實用的指導，以確保這些環境中的 IIoT 網路安全。書中包含了許多真實案例研究和範例，為讀者提供了有關 IIoT 安全和 AI 驅動的工業工程在各行各業中實施的實用見解。書中強調最佳實踐，幫助讀者確保其系統的可靠性、安全性和安全性，同時了解在這個快速發展的領域中 IIoT 安全的最新進展。
通過提供逐步的實施過程指導和最佳實踐，本書成為工業工程、資訊技術、計算機工程領域的從業者和工程師，以及任何希望保護其 IIoT 網路免受網路威脅的人的寶貴資源。
作者簡介
Dr. Sunil Kumar Chawla is working as Assistant Professor in the Department of Computer Science and Engineering, Chitkara University, Rajpura, Punjab, India. He has received his doctorate from IKG Punjab Technical University, Kapurthala, Punjab, India. He has more than 19 years of experience. His research interests lie in digital image processing, biometrics, image segmentation, artificial intelligence, machine learning and pattern recognition. He is a senior member of IEEE and other professional societies like ISTE, CSTA, IAENG, and Institute of Scholars. He has published more than 50 articles in international journals or conferences of repute, indexed in IEEE Xplore, Scopus, WoS, Google Scholar, and other eminent databases. He is associated with various international journals in the capacity of reviewer and guest editor. He has served as Technical Program Committee Member, Reviewer, Session Chair, and Program Chair of many conferences. He has edited two books under the publication of Routledge and CRC Press, Taylor & Francis Group, UK. He is also dealing with various academic and administrative duties for inclusive growth of the institution being served by handling teaching, learning, research, education, and overall development activities. He is also indulged in NBA, ABET, NIRF, and other accreditation and other ranking frameworks.
Dr Neha Sharma working as Assistant Professor in the Department of Computer Science and Engineering Department at Chitkara University Institute of Engineering & Technology, Chitkara University, Rajpura, Punjab, India. She has received her Ph.D. degree in the area of Computer Science Engineering from GD Goenka University, Gurugram, and has vast teaching experience of more than 14 years in a reputed organization. She has more than 80 international publications in reputed peer-reviewed journals indexed in Scopus and WoS omit including IEEE Xplore, SCOPUS, and SCI indexed. Her main area of research is the image processing, machine learning, deep learning, and cyber security. She has also published more than 40 National & International Patents under the Intellectual Property Rights of Government of India & Abroad. She is actively associated with NAAC preparations at the university interface. She is associated with many highly impact society memberships, like IEEE (senior member), ACM, and ISTE (lifetime member).
Dr. Ahmed A. Elngar is Associate Professor and Head of the Computer Science Department at the Faculty of Computers and Artificial Intelligence, Beni-Suef University, Egypt. Dr. Elngar is also, an Associate Professor of Computer Science at the College of Computer Information Technology, American University in the Emirates, United Arab Emirates. Also, Dr. AE is an Adjunct Professor at School of Technology, Woxsen University, India. Dr. AE is the Founder and Head of the Scientific Innovation Research Group (SIRG). Dr. AE is a Director of the Technological and Informatics Studies Center (TISC), Faculty of Computers and Artificial Intelligence, Beni-Suef University. Dr. AE has more than 150 scientific research papers published in prestigious international journals and over 35 books covering such diverse topics as data mining, intelligent systems, social networks, and smart environments. Dr. AE is a collaborative researcher. He is a member of the Egyptian Mathematical Society (EMS) and International Rough Set Society (IRSS). His other research areas include the Internet of Things (IoT), network security, intrusion detection, machine learning, data mining, and artificial intelligence. Big Data, authentication, cryptology, healthcare systems, automation systems. He is an editor and reviewer of many international journals around the world. Dr. AE won several awards including the Young Researcher in Computer Science Engineering", from Global Outreach Education Summit and Awards 2019, on 31 January 2019 (Thursday) in Delhi, India. Also, he was awarded the Best Young Researcher Award (Male) (Below 40 years)", Global Education and Corporate Leadership Awards (GECL-2018), Plot No-8, Shivaji Park, Alwar 301001, Rajasthan.
Dr. Prasenjit Chatterjee is currently Professor of Mechanical Engineering and Dean (Research and Consultancy) at MCKV Institute of Engineering, West Bengal, India. He is also a Distinguished Researcher at the School of Engineering, Universidad Católica del Norte, Chile. He has over 6900 citations and 130 research papers in various international journals and peer- reviewed conferences. He has authored and edited more than 43 books on intelligent decision-making, fuzzy computing, supply chain management, optimization techniques, risk management, and sustainability modeling. Prof. Chatterjee has been consecutively enlisted in the Top 2% list of researchers and scientists for a single year published by Elsevier-Scopus and Stanford University under "Operations Research" with a global rank of 3513 and a composite c-score of 2.8080. He has been ranked 9th among all Indian researchers and scientists in "Operations Research". Dr. Chatterjee is the Editor-in-Chief of Journal of Decision Analytics and Intelligent Computing. He has also been the guest editor of several special issues in different SCIE/Scopus/ESCI (Clarivate Analytics) indexed journals. He is the Lead Series Editor of Disruptive Technologies and Digital Transformations for Society 5.0, Springer. He has also been the guest editor of several special issues in different SCIE/Scopus/ESCI (Clarivate Analytics) indexed journals. He is the Lead Series Editor of "Smart and Intelligent Computing in Engineering", Chapman and Hall/CRC Press, Founder and Lead Series Editor of "Concise Introductions to AI and Data Science", Scrivener-Wiley; AAP Research Notes on Optimization and Decision-Making Theories; Frontiers of Mechanical and Industrial Engineering, Apple Academic Press, co-published with CRC Press, Taylor and Francis Group and "River Publishers Series in Industrial Manufacturing and Systems Engineering". Dr. Chatterjee is one of the developers of two multiple-criteria decision-making methods called Measurement of Alternatives and Ranking according to Compromise Solution (MARCOS) and Ranking of Alternatives through Functional mapping of criterion sub-intervals into a Single Interval (RAFSI).
Dr. P Naga Srinivasu is Associate Professor in the Computer Science and Engineering Department at Amrita School of Computing, Amrita Vishwa Vidyapeetham, AP, India. He obtained his Bachelor's degree in computer science engineering from SSIET, JNTU Kakinada (2011), and a Masters's degree in computer science technology from GITAM University, Visakhapatnam (2013). He was awarded a doctoral degree by GITAM University for his thesis on Automatic Segmentation Methods for Volumetric Estimate of damaged Areas in Astrocytoma instances Identified from the 2D Brain MR Imaging. His fields of study include biomedical imaging, soft computing, explainable AI, and healthcare informatics. He has published numerous publications in reputed peer-reviewed journals and has edited book volumes with various publishers like Springer, Elsevier, IGI Global, and Bentham Science. He was an active reviewer for more than 40 journals indexed in Scopus and Web of Science. He also served as guest editor and technical advisory board member for various internationally reputed conferences.
作者簡介(中文翻譯)
Dr. Sunil Kumar Chawla 目前擔任印度旁遮普州 Rajpura 的 Chitkara University 計算機科學與工程系助理教授。他在印度旁遮普州 Kapurthala 的 IKG Punjab Technical University 獲得博士學位，擁有超過 19 年的經驗。他的研究興趣包括數位影像處理、生物識別、影像分割、人工智慧、機器學習和模式識別。他是 IEEE 及其他專業社團如 ISTE、CSTA、IAENG 和 Institute of Scholars 的資深會員。他在國際期刊和會議上發表了超過 50 篇文章，這些文章在 IEEE Xplore、Scopus、WoS、Google Scholar 和其他知名資料庫中被索引。他擔任多個國際期刊的審稿人和客座編輯，並在多個會議中擔任技術程序委員會成員、審稿人、會議主席和程序主席。他編輯了兩本由 Routledge 和 CRC Press、Taylor & Francis Group 出版的書籍。他還負責學校的各項學術和行政工作，以促進機構的整體發展，包括教學、學習、研究和教育活動。他也參與 NBA、ABET、NIRF 及其他認證和排名框架的工作。
Dr. Neha Sharma 目前擔任印度旁遮普州 Rajpura 的 Chitkara University Institute of Engineering & Technology 計算機科學與工程系助理教授。她在 GD Goenka University, Gurugram 獲得計算機科學工程的博士學位，並在知名機構擁有超過 14 年的豐富教學經驗。她在多個知名的同行評審期刊上發表了超過 80 篇國際論文，這些期刊均被 Scopus 和 WoS 索引，包括 IEEE Xplore、SCOPUS 和 SCI。她的主要研究領域包括影像處理、機器學習、深度學習和網路安全。她還在印度及國外的知識產權下發表了超過 40 項國內外專利。她積極參與大學的 NAAC 準備工作，並與多個高影響力的社會會員組織有關聯，如 IEEE（資深會員）、ACM 和 ISTE（終身會員）。
Dr. Ahmed A. Elngar 是埃及 Beni-Suef University 計算機與人工智慧學院計算機科學系的副教授及系主任。Dr. Elngar 同時也是阿聯酋美國大學計算機信息技術學院的計算機科學副教授。此外，Dr. AE 還是印度 Woxsen University 技術學院的兼任教授。Dr. AE 是科學創新研究小組（SIRG）的創始人和負責人。他是 Beni-Suef University 計算機與人工智慧學院技術與信息研究中心（TISC）的主任。Dr. AE 在多個知名國際期刊上發表了超過 150 篇科學研究論文，並出版了超過 35 本涵蓋數據挖掘、智能系統、社交網絡和智能環境等多樣主題的書籍。Dr. AE 是一位合作研究者，並且是埃及數學學會（EMS）和國際粗集社會（IRSS）的成員。他的其他研究領域包括物聯網（IoT）、網路安全、入侵檢測、機器學習、數據挖掘和人工智慧、大數據、身份驗證、密碼學、醫療系統和自動化系統。他是多個國際期刊的編輯和審稿人。Dr. AE 獲得了多個獎項，包括 2019 年 1 月 31 日（星期四）在印度德里舉行的全球外展教育峰會和獎項頒發的「計算機科學工程青年研究者獎」。此外，他還獲得了「最佳青年研究者獎（男性）（40 歲以下）」，全球教育與企業領導獎（GECL-2018）。
Dr. Prasenjit Chatterjee 目前是印度西孟加拉邦 MCKV Institute of Engineering 機械工程教授及研究與諮詢院院長。他同時也是智利 Universidad Católica del Norte 工程學院的傑出研究員。他在各種國際期刊和同行評審會議上擁有超過 6900 次引用和 130 篇研究論文。他撰寫和編輯了超過 43 本有關智能決策、模糊計算、供應鏈管理、優化技術、風險管理和可持續性建模的書籍。Chatterjee 教授連續被列入 Elsevier-Scopus 和史丹佛大學發佈的「運營研究」領域的前 2% 研究者和科學家名單，全球排名第 3513，綜合 c-score 為 2.8080。他在「運營研究」領域的所有印度研究者和科學家中排名第 9。Chatterjee 博士是 Journal of Decision Analytics and Intelligent Computing 的主編。他還曾擔任多個不同 SCIE/Scopus/ESCI（Clarivate Analytics）索引期刊的特刊客座編輯。他是 Springer 出版的「社會 5.0 的顛覆性技術與數位轉型」系列的首席系列編輯。他還是「工程中的智能計算」系列的首席系列編輯，Chapman and Hall/CRC Press，並且是「AI 和數據科學簡明介紹」系列的創始人和首席系列編輯，Scrivener-Wiley；關於優化和決策理論的 AAP 研究筆記；機械與工業工程的前沿，Apple Academic Press，與 CRC Press、Taylor and Francis Group 共同出版，以及「工業製造與系統工程的 River Publishers 系列」。Chatterjee 博士是兩種多準則決策方法的開發者，分別為「根據妥協解決方案的替代方案測量與排名（MARCOS）」和「通過將標準子區間功能映射到單一區間的替代方案排名（RAFSI）」。
Dr. P Naga Srinivasu 是印度 Amrita Vishwa Vidyapeetham 的 Amrita School of Computing 計算機科學與工程系副教授。他在 SSIET, JNTU Kakinada 獲得計算機科學工程學士學位（2011），並在 GITAM University, Visakhapatnam 獲得計算機科學技術碩士學位（2013）。他因其論文「自動分割方法在從 2D 腦部 MR 成像中識別的星形膠質瘤實例中對受損區域的體積估計」而獲得 GITAM University 的博士學位。他的研究領域包括生醫影像、軟計算、可解釋的人工智慧和醫療資訊學。他在多個知名的同行評審期刊上發表了大量論文，並與多家出版商如 Springer、Elsevier、IGI Global 和 Bentham Science 編輯書籍。他曾擔任超過 40 本索引於 Scopus 和 Web of Science 的期刊的活躍審稿人，並為多個國際知名會議擔任客座編輯和技術諮詢委員會成員。
