Decision Making and Security Risk Management for IoT Environments
Springer International Publishing (Verlag)
978-3-031-47589-4 (ISBN)
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.
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 surveilla
Internet of Things Overview: Architecture, Technologies, Application, and Challenges.- IoMT Applications Perspectives: from Opportunities and Security Challenges to Cyber-Risk Management.- Cybersecurity Challenges and Implications for the Adoption of Cloud Computing and IoT: DDoS Attacks as an Example.- Implementation of the C4.5 Algorithm in the Internet of Things Applications.- Intrusion Detection Systems using Machine Learning.- Multivariate Procedure for Modeling and Prediction of Temperature in Punjab, Pakistan.- New Proposed Model for the Influence of Climate Change on the Tension Anticipation in Hospital Emergencies.- Statistical Downscaling Modeling for Temperature Prediction.- UAV-based IoT applications for action recognition.- Federated Learning for Market Surveillance.- Fake News in Social Media: Fake News Themes and Intentional Deception in the News and on Social Media.
| Erscheinungsdatum | 22.02.2024 |
|---|---|
| Reihe/Serie | Advances in Information Security |
| Zusatzinfo | VIII, 229 p. 115 illus., 85 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Gewicht | 517 g |
| Themenwelt | Informatik ► Netzwerke ► Sicherheit / Firewall |
| Schlagworte | Deep learning • Intrusion Detection Systems • IOT • machine learning • privacy-preserving • Security and Privacy |
| ISBN-10 | 3-031-47589-5 / 3031475895 |
| ISBN-13 | 978-3-031-47589-4 / 9783031475894 |
| Zustand | Neuware |
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