Decision Making and Security Risk Management for IoT Environments, 2024 Advances in Information Security Series, Vol. 106
Langue : Anglais
Coordonnateurs : Boulila Wadii, Ahmad Jawad, Koubaa Anis, Driss Maha, Farah Imed Riadh
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.
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.
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-rel
A comprehensive review for security and privacy-preserving in IoT and IIoT environments Presents new machine/deep learning-based approaches to secure decision-making in IoT environments Introduces real-world applications of machine/deep/federated learning-based approaches
Date de parution : 02-2024
Ouvrage de 229 p.
15.5x23.5 cm
Thèmes de Decision Making and Security Risk Management for IoT... :
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