Decision Making and Security Risk Management for Iot Environments
Boulila, Wadii, Ahmad, Jawad, Koubaa, Anis
相關主題
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.
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.
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 participated in 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.
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年從Borj El Amri航空學院獲得計算機科學的B.Eng學位（一等榮譽學位），於2007年從國家計算機科學學院（ENSI）的Manouba大學獲得計算機科學的碩士學位，並於2012年同時從ENSI和Rennes 1大學的Telecom-Bretagne獲得計算機科學的博士學位。他目前是沙特阿拉伯的Prince Sultan大學計算機科學副教授，也是該大學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，曾任法國Rennes 1大學ITI系的高級研究員。Wadii Boulila於2021年獲得了突尼斯Beit El-Hikma頒發的計算機科學年度青年研究員獎，以及突尼斯Manouba大學頒發的2021年最佳研究員獎。他參與了許多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、人工智能、不確定性建模和圖像分析與解釋。他曾擔任許多領先國際會議和期刊的主席、審稿人和技術委員會成員。他的工作獲得了全球認可，並被斯坦福大學提名為其領域中排名前2%的科學家之一。Wadii Boulila是IEEE高級會員、ACM會員和英國高等教育學院（SFHEA）的高級研究員。
Jawad Ahmad是一位有著10年教學和研究經驗的資深教師，曾在愛丁堡納皮爾大學（英國）、格拉斯哥卡里多尼安大學（英國）、弘益大學（南韓）和HITEC大學塔克西拉（巴基斯坦）等知名學院任教。在英國、南韓和巴基斯坦的職業生涯中，他教授了許多與行業相關的課程，如網絡安全編程、密碼學、操作系統、計算機系統和計算機數學。他指導了多名博士、碩士和本科生完成他們的論文。他發表了100多篇研究論文（3000多次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，他被英國皇家工程學院（Royal Academy of Engineering）認定為網絡安全領域的全球人才。根據2021年和2022年的clarivate數據，他被列入全球頂尖2%的科學家。他在兩個國際會議上獲得了最佳論文獎。他在碩士（電氣工程）和學士（電子工程）中分別獲得了金牌和銅牌獎。
Anis Koubaa是Prince Sultan大學的計算機科學全職教授，也是該大學研究和創新中心的主任，並領導機器人和物聯網實驗室。他在研究和開發方面擁有20多年的經驗，在數據科學、無人系統、深度學習、機器人和物聯網等領域推動了眾多創新項目。他是英國高等教育學院的高級研究員。Koubaa教授獲得了多個獎項，包括AI領導獎、最佳AI產品獎、KAUST挑戰獎的獲獎者，以及對其教學技巧的認可。他的研究興趣圍繞著開發物流的自動化解決方案，利用無人機和機器人進行交付系統。Anis Koubaa還提供了關於無人機、數據科學、Python編程、深度學習和其他新興技術的培訓課程。值得注意的是，他撰寫了關於機器人操作系統（ROS）和ROSLink協議的課程和書籍，實現了機器人、無人機和雲系統之間的通信。Koubaa還領導著關注實時人臉監控、車輛檢測和車牌識別的人工智能項目。
