Decision Making And Security Risk Management For Iot Environments
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Decision Making and Security Risk Management for IoT Environments
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.
Cyberology
This book provides an insightful examination of cybersecurity threats and their implications across various sectors, including healthcare, agriculture, and government. It covers fundamental concepts in cybersecurity, including cybercrime laws, cyberbullying and emerging technologies. It discusses challenges in detecting and preventing cyber threats and analyzes trends in cyber warfare and resilience. This book serves as a resource for understanding the complex relationship between technology and society, equipping readers with the knowledge needed to navigate the evolving cyber landscape. It is for scholars, students, and professionals interested in cybersecurity and challenges. This book introduces the fundamental principles and theories of cybersecurity, focusing on the relationship between humans and technology details various cyber threats affecting the digital world, healthcare, and agriculture, emphasizing their real-world implications discusses issues like cyberbullying, threats in cloud computing, and vulnerabilities in cyber-physical systems examines the difficulties in detecting cybercrimes, addressing advanced persistent threats, and fostering cyber resilience analyzes current trends in cyber warfare and terrorism, providing insights into new security challenges
Emerging Multisector Applications of AI and IoT
Artificial Intelligence (AI) and the Internet of Things (IoT) technologies are reshaping industries and driving innovation across multiple sectors, from healthcare and agriculture to manufacturing and smart cities. These technologies enable real-time data collection, intelligent decision-making, and automation, leading to increased efficiency, cost savings, and improved services. Their integration supports critical advancements such as predictive maintenance, personalized healthcare, and sustainable resource management. As AI and IoT continue to evolve, they are transforming the way society functions, fostering more connected, intelligent, and resilient systems that address pressing global challenges. Emerging Multisector Applications of AI and IoT examines the numerous uses of AI, IoT, and ML for increasing process efficiency and sustainability across industries. Additionally, it discusses challenges and legal issues related to global governance of AI. Covering topics such as embedded systems, energy management, and authentication mechanisms, this book is an excellent resource for industrial leaders, manufacturers, healthcare practitioners, technologists, computer scientists, engineers, policymakers, regulators, professionals, researchers, scholars, academicians, and more.