Artificial Intelligence and Cyber Security in Industry 4.0

This book provides theoretical background and state-of-the-art findings in artificial intelligence and cybersecurity for industry 4.0 and helps in implementing AI-based cybersecurity applications. Machine learning-based security approaches are vulnerable to poison datasets which can be caused by a legitimate defender's misclassification or attackers aiming to evade detection by contaminating the training data set. There also exist gaps between the test environment and the real world. Therefore, it is critical to check the potentials and limitations of AI-based security technologies in terms of metrics such as security, performance, cost, time, and consider how to incorporate them into the real world by addressing the gaps appropriately. This book focuses on state-of-the-art findings from both academia and industry in big data security relevant sciences, technologies, and applications.

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本書提供了人工智慧和工業4.0領域中的資訊安全的理論背景和最新研究成果，並幫助實施基於人工智慧的資訊安全應用。基於機器學習的安全方法容易受到有害數據集的影響，這可能是由於合法防禦者的誤分類或攻擊者為了逃避檢測而污染訓練數據集。測試環境與真實世界之間也存在差距。因此，關鍵是要檢查基於人工智慧的安全技術在安全性、性能、成本、時間等指標方面的潛力和限制，並考慮如何通過適當地解決這些差距將其應用於真實世界。本書聚焦於大數據安全相關科學、技術和應用領域的學術界和工業界的最新研究成果。

Dr. Velliangiri Sarveshwaran obtained his bachelor's degree in computer science and engineering from Anna University, Chennai. Master in Computer Science and Engineering from Karpagam University, Coimbatore, and Doctor of Philosophy in Information and Communication Engineering from Anna University, Chennai. Currently, he is working as an assistant professor at the SRM Institute of Science and Technology, Kattankulathur Campus, Chennai. He was a member of the Institute of Electrical and Electronics Engineers (IEEE) and the International Association of Engineers (IAENG). He was the reviewer of IEEE Transactions, Elsevier, Springer, Inderscience, and other reputed Scopus-indexed journals. He is specialized in network security and optimization techniques. He published in more than 30 international journals and presented at more than 10 international conferences. He also serves as a technical program committee chair and conference chair at many international conferences. He also serves as an area editor for the EAI Endorsed Journal of Energy Web and an academic editor in the Journal of Wireless Communication and Mobile Computing.

Joy Iong-Zong Chen was born in Taichung Taiwan. He received his B.Sc., degrees in Electronics Engineering from the National Taiwan Technical University, Taipei, Taiwan, and M.Sc., degrees in Electrical Engineering from the Dayeh University, Chunghua, Taiwan, in 1985 and 1995, respectively, and Ph.D. degrees in Electrical Engineering from the National Defense University, Tao-Yuan, Taiwan, in 2001. He is currently a full professor at the Department of Communication Engineering at Dayeh University in Changhua Taiwan. Before joining Dayeh University, he worked as a Technical Manager at the Control Data Company (Taiwan branch) from Sep. 1985 to Sep. 1996. His research interests include wireless communications, spread spectrum technical, MIMO systems, OFDM systems, and wireless sensor networks. Dr. Joy I.-Z. Chen has published a large number of SCI/EI Journal papers on the issues addressed by the physical layer for wireless communication systems. Moreover, he also majors in developing some applications of the IOT (Internet of Things) techniques and Dr. Joy I.-Z.Chen owned some patents authorized by the Taiwan Intellectual Property Office (TIPO). Dr Joy I.-Z. Chen has ever been serving as many important positions in International Conferences.

Danilo Pelusi received a PhD in Computational Astrophysics from the University of Teramo, Italy. He is an Associate Professor at the Department of Communication Sciences, University of Teramo. Editor of books in Springer and Elsevier, he is/was an Associate Editor of IEEE Transactions on Emerging Topics in Computational Intelligence, IEEE Access and International Journal of Machine Learning and Cybernetics. Guest editor for Elsevier, Springer and Inderscience journals and keynote speaker in several IEEE conferences, he belongs to the editorial board member of many journals. His research interests include Fuzzy Logic, Neural Networks, Information Theory, Machine Learning and Evolutionary Algorithms. Dr Danilo Pelusi is an editor of Neuroscience Informatics.

Dr. Velliangiri Sarveshwaran 在印度安娜大學（Anna University）獲得計算機科學和工程學士學位，並在科伊姆巴托爾的卡帕甘大學（Karpagam University）獲得計算機科學和工程碩士學位，以及在安娜大學獲得信息和通信工程博士學位。目前，他在印度金奈的SRM科學與技術學院（SRM Institute of Science and Technology）擔任助理教授。他曾是電氣和電子工程師學會（IEEE）和國際工程師協會（IAENG）的成員。他曾擔任IEEE Transactions、Elsevier、Springer、Inderscience等知名Scopus索引期刊的審稿人。他專攻網絡安全和優化技術。他在30多個國際期刊上發表過文章，並在10多個國際會議上發表過演講。他還擔任多個國際會議的技術程序委員會主席和會議主席。他還擔任EAI Endorsed Journal of Energy Web的領域編輯和Journal of Wireless Communication and Mobile Computing的學術編輯。

Joy Iong-Zong Chen 出生於台灣台中。他在1985年和1995年分別從國立台灣科技大學和大葉大學獲得電子工程學士學位和電機工程碩士學位，並在2001年從國防大學獲得電機工程博士學位。他目前是台灣彰化大葉大學通訊工程系的教授。在加入大葉大學之前，他曾在1985年9月至1996年9月期間在控制數據公司（台灣分公司）擔任技術經理。他的研究興趣包括無線通信、展頻技術、MIMO系統、OFDM系統和無線感測網絡。Joy I.-Z. Chen博士在無線通信系統的物理層問題上發表了大量SCI/EI期刊論文。此外，他還專注於開發一些物聯網（Internet of Things）技術的應用，並擁有台灣智慧財產局（TIPO）授權的專利。Joy I.-Z. Chen博士曾擔任多個國際會議的重要職位。

Danilo Pelusi在意大利特拉莫大學（University of Teramo）獲得計算天體物理學博士學位。他是特拉莫大學傳播科學系的副教授。他是Springer和Elsevier的書籍編輯，是IEEE Transactions on Emerging Topics in Computational Intelligence、IEEE Access和International Journal of Machine Learning and Cybernetics的副編輯。他還是Elsevier、Springer和Inderscience期刊的客座編輯，並在多個IEEE會議上擔任主題演講嘉賓，他還是許多期刊的編輯委員會成員。他的研究興趣包括模糊邏輯、神經網絡、信息理論、機器學習和進化算法。Danilo Pelusi博士是《神經科學信息學》的編輯。