Decision Making and Security Risk Management for Iot Environments
暫譯: 物聯網環境中的決策制定與安全風險管理

Boulila, Wadii, Ahmad, Jawad, Koubaa, Anis

  • 出版商: Springer
  • 出版日期: 2025-02-22
  • 售價: $5,810
  • 貴賓價: 9.5$5,520
  • 語言: 英文
  • 頁數: 229
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 3031475925
  • ISBN-13: 9783031475924
  • 相關分類: 物聯網 IoT資訊安全
  • 海外代購書籍(需單獨結帳)

商品描述

This book contains contemporary research that outlines and addresses security, privacy challenges and decision-making in IoT environments. The authors provide a variety of subjects related to the following Keywords: IoT, security, AI, deep learning, federated learning, intrusion detection systems, and distributed computing paradigms. This book also offers a collection of the most up-to-date research, providing a complete overview of security and privacy-preserving in IoT environments. It introduces new approaches based on machine learning that tackles security challenges and provides the field with new research material that's not covered in the primary literature.
The Internet of Things (IoT) refers to a network of tiny devices linked to the Internet or other communication networks. IoT is gaining popularity, because it opens up new possibilities for developing many modern applications. This would include smart cities, smart agriculture, innovative healthcare services and more. The worldwide IoT market surpassed $100 billion in sales for the first time in 2017, and forecasts show that this number might reach $1.6 trillion by 2025. However, as IoT devices grow more widespread, threats, privacy and security concerns are growing. The massive volume of data exchanged highlights significant challenges to preserving individual privacy and securing shared data. Therefore, securing the IoT environment becomes difficult for research and industry stakeholders.
Researchers, graduate students and educators in the fields of computer science, cybersecurity, distributed systems and artificial intelligence will want to purchase this book. It will also be a valuable companion for users and developers interested in decision-making and security risk management in IoT environments.

商品描述(中文翻譯)

本書包含當代研究,概述並解決物聯網(IoT)環境中的安全性、隱私挑戰和決策問題。作者提供了與以下關鍵詞相關的多種主題:IoT、安全性、人工智慧(AI)、深度學習、聯邦學習、入侵檢測系統和分散式計算範式。本書還提供了最新的研究成果,全面概述了物聯網環境中的安全性和隱私保護。它介紹了基於機器學習的新方法,應對安全挑戰,並為該領域提供了在主要文獻中未涵蓋的新研究材料。

物聯網(IoT)是指連接到互聯網或其他通信網絡的小型設備的網絡。物聯網正日益受到歡迎,因為它為開發許多現代應用程序開啟了新的可能性,包括智慧城市、智慧農業、創新醫療服務等。全球物聯網市場在2017年首次突破1000億美元的銷售額,預測顯示到2025年這一數字可能達到1.6兆美元。然而,隨著物聯網設備的普及,威脅、隱私和安全問題也在增加。大量數據的交換突顯了保護個人隱私和確保共享數據安全的重大挑戰。因此,確保物聯網環境的安全對於研究和產業利益相關者來說變得困難。

計算機科學、網絡安全、分散式系統和人工智慧領域的研究人員、研究生和教育工作者將希望購買本書。對於對物聯網環境中的決策和安全風險管理感興趣的用戶和開發者來說,本書也是一個有價值的伴侶。

作者簡介

Wadii Boulila received the B.Eng. degree (1st Class Honours with distinction) in computer science from the Aviation School of Borj El Amri, in 2005, the MSc. degree in computer science from the National School of Computer Science (ENSI), University of Manouba, Tunisia, in 2007, and the Ph.D. degree in computer science conjointly from the ENSI and Telecom-Bretagne, University of Rennes 1, France, in 2012. He is currently an associate professor of computer science with Prince Sultan University, Saudi Arabia. He is also a senior researcher with the RIOTU Laboratory, Prince Sultan University, Saudi Arabia, a senior researcher with RIADI Laboratory, University of Manouba, and previously a Senior Research Fellow with the ITI Department, University of Rennes 1, France. Wadii received the award of the young researcher in computer science in Tunisia for the year 2021 from Beit El-Hikma and the award of best researcher from the University of Manouba in Tunisia for the year 2021. He participatedin many research and industrial-funded projects. His primary research interests include data science, big data analytics, deep learning, cybersecurity, artificial intelligence, uncertainty modeling, and image analysis and interpretation. He has served as the chair, a reviewer, and a TPC member for many leading international conferences and journals. His work has gained global recognition, and he has been nominated as one of the top 2% of scientists in his field by Stanford University. Wadii Boulila is an IEEE Senior member, an ACM member, and a Senior Fellow of the Higher Education Academy (SFHEA), U.K.
Jawad Ahmad is an experienced teacher with 10 years of teaching and research experience in prestigious institutes including Edinburgh Napier University (UK), Glasgow Caledonian University (UK), Hongik University (South Korea) and HITEC University Taxila (Pakistan). During his professional career in the UK, South Korea, and Pakistan, he has taught numerous industry-relevant courses such as Programming for Cyber Security, Cryptography, Operating Systems, Computer Systems and Mathematics for Computing. He has supervised several PhD, MSc and undergraduate students in their dissertations. He has 100+ research papers (3000+ Google Citations), including in leading international journals and peer-reviewed international conference proceedings. In 2020, he was recognised as a Global Talent in the area of Cyber Security by the Royal Academy of Engineering (UK). As per clarivate in 2021 and 2022, he was included in the world's top 2% scientists. He has received the best paper awards at two international conferences. He earned a gold medal and bronze medal for best performance in MS (Electrical Engineering) and BS (Electronics Engineering), respectively.
Anis Koubaa is a Full Professor in Computer Science, technology innovator, at Prince Sultan University, where he also serves as the Research and Initiatives Center Director and leads the Robotics and Internet-of-Things Lab. With more than 20 years of experience in research and development, he has driven numerous innovative projects in areas such as data science, unmanned systems, deep learning, robotics, and the Internet of Things. He is a Senior Fellow of the Higher Education Academy of the UK. Prof. Koubaa has received multiple awards, including the AI Leadership Award, the Best AI Product Award, the Winner KAUST Challenge Award, and recognition for his teaching skills. His research interests revolve around developing automated solutions for logistics, using drones and robots for delivery systems. Anis Koubaa has delivered training programs on drones, data science, Python programming, deep learning, and other emerging technologies. Notably, he has authored courses and books on the Robot Operating System (ROS) and the ROSLink protocol, enabling communication between robots, drones, and cloud systems. Koubaa also leads AI projects focusing on real-time face surveillance, vehicle detection, and license plate recognition while developing AI and automation solutions for smart cities and agriculture. His work has gained global recognition, and he has been nominated as one of the top 2% of scientists in his field by Stanford University.

Maha Driss: is a Senior Member of IEEE and a Member of the ACM Professional Chapter. She received her Engineering degree (Hons.) in computer science and her M.Sc. degree from the National School of Computer Science (ENSI) at the University of Manouba, Tunisia, in 2006 and 2007, respectively. In 2011, she received her Ph.D. degree from the University of Rennes 1, France. Dr. Driss has worked in various academic roles throughout her career. From 2012 to 2015, she was an Assistant Professor of computer science at the National Higher Engineering School of Tunis at the University of Tunis, Tunisia. From 2015 to 2021, she worked as an Assistant Professor of computer science at the Information System Department, College of Computer Science and Engineering at Taibah University, Saudi Arabia. From 2021 to 2022, she was a Senior Researcher at the Security Engineering Lab at Prince Sultan University, Saudi Arabia. Currently, she is an Assistant Professor in the Computer Science department at the College of Computer and Information Sciences at Prince Sultan University, Saudi Arabia. Additionally, she is a Senior Researcher with the RIADI Laboratory at the University of Manouba. Dr. Driss' research interests focus on several areas, including software engineering, service computing, distributed systems, IoT and IIoT, artificial intelligence, and security engineering. She has served in various leadership positions, including Guest Editor, Chair, Reviewer, and TPC Member for many leading international conferences and journals. She has published numerous articles in reputable international journals and conferences. Moreover, Dr. Driss has obtained several professional certifications in cloud computing, service computing, and artificial intelligence.

Imed Riadh Farah received the Eng. Degree from the National Engineering school of Gabes (ENIG) in 1991, the M.Sc. degree from the Higher Institute of Management Tunis (ISG), University of Tunis, Tunisia in 1995, and the Ph.D. degree from the National School of Computer Science (ENSI), University of Manouba, Tunisia in 2003. He is currently a full professor in computer science at National Engineering School of Manouba (ENIMa) and the Research Laboratory on software engineering, distributed applications, decision systems and intelligent imaging (RIADI laboratory), University of Manouba, Tunisia. His research interests are centered on data analysis and interpretation, viewed from both a methodological and an applicative point of view. This includes remote sensing and medical image processing, big data analytics, spatiotemporal analysis, machine and deep learning.

作者簡介(中文翻譯)

Wadii Boulila於2005年獲得Borj El Amri航空學校的計算機科學學士學位(一級榮譽),於2007年獲得突尼西亞Manouba大學國立計算機科學學院(ENSI)的計算機科學碩士學位,並於2012年獲得ENSI與法國雷恩大學(University of Rennes 1)Telecom-Bretagne聯合授予的計算機科學博士學位。他目前是沙烏地阿拉伯王子蘇丹大學的計算機科學副教授,同時也是該校RIOTU實驗室的高級研究員,以及Manouba大學RIADI實驗室的高級研究員,並曾擔任法國雷恩大學ITI部門的高級研究員。Wadii於2021年獲得突尼西亞Beit El-Hikma頒發的計算機科學青年研究者獎,並於2021年獲得Manouba大學的最佳研究者獎。他參與了多個研究和工業資助的項目。他的主要研究興趣包括數據科學、大數據分析、深度學習、網絡安全、人工智慧、不確定性建模以及圖像分析與解釋。他曾擔任多個國際會議和期刊的主席、審稿人及TPC成員。他的工作獲得全球認可,並被史丹佛大學提名為其領域前2%的科學家。Wadii Boulila是IEEE高級會員、ACM會員及英國高等教育學院(SFHEA)的高級研究員。

Jawad Ahmad是一位經驗豐富的教師,擁有10年的教學和研究經驗,曾在包括愛丁堡納皮爾大學(英國)、格拉斯哥卡利多尼亞大學(英國)、弘益大學(南韓)和HITEC大學(巴基斯坦)等知名機構任教。在英國、南韓和巴基斯坦的職業生涯中,他教授了多門與行業相關的課程,如網絡安全編程、密碼學、操作系統、計算機系統和計算數學。他指導了多位博士、碩士及本科生的論文。他發表了100多篇研究論文(超過3000次Google引用),包括在領先的國際期刊和同行評審的國際會議論文集中。2020年,他被英國皇家工程院認定為網絡安全領域的全球人才。根據Clarivate的資料,他在2021年和2022年被列入全球前2%的科學家名單。他在兩個國際會議上獲得最佳論文獎。他在電機工程碩士(MS)和電子工程學士(BS)中分別獲得金獎和銅獎。

Anis Koubaa是王子蘇丹大學的計算機科學全職教授、技術創新者,並擔任研究與倡議中心主任,領導機器人與物聯網實驗室。擁有超過20年的研究與開發經驗,他在數據科學、無人系統、深度學習、機器人技術和物聯網等領域推動了多個創新項目。他是英國高等教育學院的高級研究員。Koubaa教授獲得多項獎項,包括人工智慧領導獎、最佳人工智慧產品獎、KAUST挑戰賽獎和教學技能的認可。他的研究興趣圍繞著為物流開發自動化解決方案,使用無人機和機器人進行配送系統。Anis Koubaa曾提供有關無人機、數據科學、Python編程、深度學習及其他新興技術的培訓課程。值得注意的是,他撰寫了有關機器人操作系統(ROS)和ROSLink協議的課程和書籍,這些協議使機器人、無人機和雲系統之間能夠進行通信。Koubaa還領導著專注於實時人臉監控、車輛檢測和車牌識別的人工智慧項目,同時為智慧城市和農業開發人工智慧及自動化解決方案。他的工作獲得全球認可,並被史丹佛大學提名為其領域前2%的科學家。

Maha Driss是IEEE的高級會員及ACM專業分會的成員。她於2006年和2007年分別在突尼西亞Manouba大學國立計算機科學學院(ENSI)獲得計算機科學工程學位(榮譽)和碩士學位。2011年,她在法國雷恩大學獲得博士學位。Dr. Driss在其職業生涯中擔任過多個學術職位。2012年至2015年,她在突尼西亞突尼斯國立高等工程學院擔任計算機科學助理教授。2015年至2021年,她在沙烏地阿拉伯Taibah大學計算機科學與工程學院的信息系統系擔任助理教授。2021年至2022年,她在沙烏地阿拉伯王子蘇丹大學的安全工程實驗室擔任高級研究員。目前,她是沙烏地阿拉伯王子蘇丹大學計算機與信息科學學院計算機科學系的助理教授。此外,她還是Manouba大學RIADI實驗室的高級研究員。Dr. Driss的研究興趣集中在多個領域,包括軟體工程、服務計算、分散式系統、物聯網和工業物聯網、人工智慧及安全工程。她在多個領先的國際會議和期刊中擔任過客座編輯、主席、審稿人和TPC成員。她在多個知名國際期刊和會議上發表了大量文章。此外,Dr. Driss還獲得了多項雲計算、服務計算和人工智慧的專業認證。

Imed Riadh Farah於1991年獲得突尼西亞Gabes國立工程學院(ENIG)的工程學位,於1995年獲得突尼西亞突尼斯高等管理學院(ISG)的碩士學位,並於2003年獲得突尼西亞Manouba大學國立計算機科學學院(ENSI)的博士學位。他目前是突尼西亞Manouba國立工程學院(ENIMa)的計算機科學全職教授,並在該校的軟體工程、分散式應用、決策系統和智能影像研究實驗室(RIADI實驗室)工作。他的研究興趣集中在數據分析和解釋,從方法論和應用的角度進行探討,包括遙感和醫學影像處理、大數據分析、時空分析、機器學習和深度學習。

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