Quality Assessment and Security in Industrial Internet of Things
暫譯: 工業物聯網中的品質評估與安全性

Jha, Sudan, Shakya, Sarbagya Ratna, Ahmad, Sultan

  • 出版商: CRC
  • 出版日期: 2024-10-30
  • 售價: $4,070
  • 貴賓價: 9.5$3,867
  • 語言: 英文
  • 頁數: 208
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1032538732
  • ISBN-13: 9781032538730
  • 相關分類: 物聯網 IoT資訊安全
  • 海外代購書籍(需單獨結帳)

相關主題

商品描述

This book highlights authentication and trust evaluation models in the Industrial Internet of Things. It further discusses data breaches and security issues in various Artificial Intelligence-enabled systems and uses Blockchain to resolve the challenges faced by the Industrial Internet of Things. The text showcases performance quality assessment for the Industrial Internet of Things' applications.

This book:

  • Discusses and evaluates different quality assessment systems and authentication of smart devices
  • Addresses data handling, data security, confidentiality, and integrity of data in the Industrial Internet of Things
  • Focuses on developing framework and standardization of quality assessment for diverse Internet of Things-enabled devices
  • Explains the designing, developing, and framing of smart machines, that are equipped with tools for tracking and logging data to provide advanced security features
  • Presents the convergence of the Internet of Things toward Industry 4.0 through quality assessment via analyzing data security and identifying vulnerabilities

It is primarily written for graduate students and academic researchers in the fields of electrical engineering, electronics, and communications engineering, industrial and production engineering, computer science, and engineering.

商品描述(中文翻譯)

本書重點介紹工業物聯網中的身份驗證和信任評估模型。進一步討論了各種人工智慧驅動系統中的數據洩露和安全問題,並利用區塊鏈技術解決工業物聯網所面臨的挑戰。文本展示了工業物聯網應用的性能質量評估。

本書:

- 討論和評估不同的質量評估系統及智能設備的身份驗證
- 處理工業物聯網中的數據處理、數據安全、數據的保密性和完整性
- 專注於為各種物聯網設備開發質量評估的框架和標準化
- 解釋設計、開發和構建智能機器,這些機器配備了跟踪和記錄數據的工具,以提供先進的安全功能
- 通過分析數據安全和識別漏洞,展示物聯網向工業4.0的融合,並進行質量評估

本書主要為電機工程、電子學、通信工程、工業與生產工程、計算機科學及工程領域的研究生和學術研究人員而寫。

作者簡介

Sudan Jha: With over 23 years of combined teaching, research, and industrial experience, Sudan Jha is a senior member of IEEE and a Professor in the Department of Computer Science & Engineering at Kathmandu University, Nepal. His previous affiliations include KIIT University, Chandigarh University, and Christ University. He was Technical Director at Nepal Television, Principal at Nepal College of IT, and Individual Consultant at Nepal Telecom Authority. Prof. Jha is dedicated to advancing higher education quality and actively works on smart platforms. His extensive research portfolio comprises 80+ SCI, SCIE-indexed research papers and book chapters in international peer-reviewed journals and conferences. He serves as a Co-Editor-in-Chief of an international journal. He also serves as Guest Editor for SCIE/ESCI/SCOPUS-indexed journals. With three patents to his name, he has authored and edited six books on cutting-edge topics in IoT, 5G, and AI, published by reputed publishers. His research has also secured funding for two international projects. Additionally, Prof. Jha contributes as a keynote speaker at more than 40 international conferences. In addition, he has also delivered faculty development programs, short-term training programs, and workshops in national and international conferences and universities. He holds certifications in Microservices Architecture, Data Science, and Foundations of Artificial Intelligence. His primary research interests encompass Quality of Services in IoT-enabled devices, Neutrosophic theory, and Neutrosophic Soft Set Systems.

Sarbagya Ratna Shakya: Sarbagya Ratna Shakya is an Assistant Professor at Eastern New Mexico University, New Mexico, USA. He received a B.Eng. in Electronics Engineering from National College of Engineering, Tribhuvan University of Nepal in 2009 and an M.Eng. in Computer Engineering from Nepal College of Information Technology, Pokhara University of Nepal in 2014. He received his Ph.D. in Computational Science (Computer Science) from the School of Computer Science and Computer Engineering, University of Southern Mississippi, USA. He has more than 10 years of teaching experience in undergraduate-level courses. His research interest includes machine learning, deep learning, image processing, Internet of Things (IoT), and Industrial IoT and has published journal papers, conference papers, and book chapters in different domains on applied machine learning and deep learning.

Sultan Ahmad: Sultan Ahmad (Member, IEEE) received a Ph.D. degree in CSE from Glocal University and a Master of Computer Science and Applications degree (Hons.) from Aligarh Muslim University, India. He is currently a Faculty Member of the Department of Computer Science, College of Computer Engineering and Sciences, Prince Sattam Bin Abdulaziz University, Al-Kharj, Saudi Arabia. He is also an Adjunct Professor at Chandigarh University, Gharuan, Punjab, India. He has more than 15 years of teaching and research experience. He has around 105 accepted and published research papers and book chapters in reputed SCI-, SCIE-, ESCI-, and SCOPUS-indexed journals and conferences. He has an Australian patent and a Chinese patent in his name also. He has authored and edited five books that are available on Amazon. He has presented his research papers at many national and international conferences. His research interests include intelligence computing, big data, machine learning, and Internet of Things. He is a member of IACSIT and the Computer Society of India.

Zhaoxian Zhou: Dr. Zhaoxian Zhou is a dedicated scholar and educator in the field of Electrical and Computer Engineering. With a comprehensive academic background spanning renowned institutions worldwide, Dr. Zhou brings a wealth of expertise and experience to his role. He graduated with a Bachelor of Engineering in Electrical Engineering from the University of Science and Technology of China in 1991, a Master of Engineering in Electrical Engineering from the National University of Singapore in 1999, and a Ph.D. in Electrical and Computer Engineering from the University of New Mexico in 2005. Dr. Zhou's professional journey transitioned from industry to academia. Started his career as an electrical engineer at the China Research Institute of Radiowave Propagation in 1991, he joined the faculty at the University of Southern Mississippi in 2005. Currently, he serves as a Full Professor in the School of Computing Sciences and Computer Engineering. His research interests encompass a diverse range of topics, including wireless sensor networks, human activity recognition, face recognition, image processing, big data analytics, machine learning, high-performance computing, wearable devices, electromagnetics, and engineering education. Dr. Zhou's scholarly endeavors have resulted in more than 50 publications in esteemed academic journals and conference proceedings. Dr. Zhou is deeply committed to educating the next generation of engineers. His teaching portfolio covers a broad spectrum of subjects, including introduction to computer engineering, circuit analysis, digital electronics, analog and digital communications, Internet of Things, digital signal processing, power electronics, alternative energy, microwave engineering, electromagnetic fields, analytical methods, and statistical techniques. Dr. Zhou's teaching philosophy emphasizes mentorship, collaboration, and inclusive and active learning, inspiring students to excel in their academic endeavors. Dr. Zhou's contributions to the engineering community have been recognized through various awards and honors, including the IEEE APS RMTG Award, the SUMMA Graduate Fellowship in Advanced Electromagnetics, and the Outstanding New Teacher Award from ASEE-SE, Faculty Excellence Award from USM, and multiple teaching grants. He actively engages in scholarly activities as a reviewer for leading publishers, journals, and conferences, contributing to the advancement of his field. As a senior member of the Institute of Electrical and Electronics Engineers (IEEE), a member of the HKN Honor Society of Electrical and Computer Engineering, and a program evaluator for ABET Inc., Dr. Zhou exemplifies the values of academic excellence, integrity, and service. His dedication to fostering learning and innovation extends beyond the classroom, as he continues to mentor aspiring engineers and contribute to the scholarly community.

作者簡介(中文翻譯)

**Sudan Jha:** 擁有超過23年的教學、研究和工業經驗,Sudan Jha是IEEE的高級會員,也是尼泊爾加德滿都大學計算機科學與工程系的教授。他曾任職於KIIT大學、昌迪加爾大學和基督大學。他曾擔任尼泊爾電視台的技術總監、尼泊爾資訊科技學院的院長,以及尼泊爾電信管理局的個人顧問。Jha教授致力於提升高等教育的質量,並積極從事智慧平台的研究。他的研究成果包括80多篇在國際同行評審期刊和會議上發表的SCI、SCIE索引的研究論文和書籍章節。他擔任國際期刊的共同主編,並擔任SCIE/ESCI/SCOPUS索引期刊的客座編輯。他擁有三項專利,並撰寫和編輯了六本關於物聯網(IoT)、5G和人工智慧(AI)前沿主題的書籍,這些書籍由知名出版社出版。他的研究還為兩個國際項目獲得了資金。此外,Jha教授在40多個國際會議上擔任主題演講者。此外,他還在國內外會議和大學中提供教職員發展計劃、短期培訓計劃和工作坊。他持有微服務架構、數據科學和人工智慧基礎的認證。他的主要研究興趣包括物聯網設備的服務質量、中立理論和中立軟集合系統。

**Sarbagya Ratna Shakya:** Sarbagya Ratna Shakya是美國新墨西哥州東新墨西哥大學的助理教授。他於2009年在尼泊爾特里布萬大學國立工程學院獲得電子工程學士學位,並於2014年在尼泊爾波卡拉大學的尼泊爾資訊科技學院獲得計算機工程碩士學位。他在美國南密西西比大學的計算機科學與計算機工程學院獲得計算科學(計算機科學)博士學位。他在本科課程的教學經驗超過10年。他的研究興趣包括機器學習、深度學習、影像處理、物聯網(IoT)和工業物聯網,並在不同領域發表了有關應用機器學習和深度學習的期刊論文、會議論文和書籍章節。

**Sultan Ahmad:** Sultan Ahmad(IEEE會員)在Glocal大學獲得計算機科學與工程博士學位,並在印度阿里格爾穆斯林大學獲得計算機科學與應用碩士學位(榮譽)。他目前是沙烏地阿拉伯阿爾卡爾吉的王子薩塔姆·賓·阿卜杜拉齊茲大學計算機科學系的教職員。他同時也是印度昌迪加爾大學的兼任教授。他擁有超過15年的教學和研究經驗。他在知名的SCI、SCIE、ESCI和SCOPUS索引的期刊和會議上發表了約105篇被接受和發表的研究論文和書籍章節。他擁有一項澳大利亞專利和一項中國專利。他撰寫和編輯了五本在亞馬遜上可獲得的書籍。他在許多國內外會議上發表了研究論文。他的研究興趣包括智能計算、大數據、機器學習和物聯網。他是IACSIT和印度計算機學會的成員。

**Zhaoxian Zhou:** 周兆賢博士是一位專注於電氣與計算機工程領域的學者和教育者。周博士擁有來自全球知名機構的全面學術背景,為他的角色帶來了豐富的專業知識和經驗。他於1991年在中國科學技術大學獲得電氣工程學士學位,1999年在新加坡國立大學獲得電氣工程碩士學位,並於2005年在新墨西哥大學獲得電氣與計算機工程博士學位。周博士的職業生涯從工業轉向學術。他於1991年在中國無線波傳播研究所擔任電氣工程師,並於2005年加入南密西西比大學的教職。現在,他在計算科學與計算機工程學院擔任正教授。他的研究興趣涵蓋多個主題,包括無線感測器網絡、人類活動識別、面部識別、影像處理、大數據分析、機器學習、高性能計算、可穿戴設備、電磁學和工程教育。周博士的學術努力已在知名學術期刊和會議論文集中發表超過50篇論文。周博士對於培養下一代工程師充滿熱情。他的教學範疇涵蓋廣泛的主題,包括計算機工程導論、電路分析、數位電子學、類比與數位通訊、物聯網、數位信號處理、電力電子學、替代能源、微波工程、電磁場、分析方法和統計技術。周博士的教學理念強調導師制、合作以及包容性和主動學習,激勵學生在學術上追求卓越。周博士對工程界的貢獻獲得了多項獎項和榮譽,包括IEEE APS RMTG獎、SUMMA高級電磁學研究生獎學金、ASEE-SE傑出新教師獎、USM教學卓越獎和多項教學補助。他積極參與學術活動,擔任主要出版商、期刊和會議的審稿人,為其領域的發展做出貢獻。作為電氣與電子工程師學會(IEEE)的高級會員、電氣與計算機工程HKN榮譽學會的成員,以及ABET Inc.的項目評估員,周博士體現了學術卓越、誠信和服務的價值。他對於促進學習和創新不僅限於課堂內,還持續指導有志於成為工程師的人士,並為學術界做出貢獻。