Название: Explainable IoT Applications: A Demystification Автор: Sachi Nandan Mohanty, Suneeta Satpathy, Xiaochun Cheng, Subhendu Kumar Pani Издательство: Springer Год: 2025 Страниц: 480 Язык: английский Формат: pdf (true) Размер: 21.2 MB
Explainable IoT Application: A Demystification is an in-depth guide that examines the intersection of the Internet of Things (IoT) with AI and Machine Learning, focusing on the crucial need for transparency and interpretability in IoT systems. As IoT devices become more integrated into daily life, from smart homes to industrial automation, it is increasingly important to understand and trust the decisions they make. The book starts by covering the basics of IoT, highlighting its importance in modern technology and its wide-ranging applications in fields such as healthcare, transportation, and smart cities. It then delves into the concept of explainability, stressing the need to prevent IoT systems from being perceived as opaque, black-box operations. The authors explore various techniques and methods for achieving explainability, including rule-based systems and machine learning models, while also addressing the challenge of balancing explainability with performance. Through practical examples, the book shows how explainability can be successfully implemented in IoT applications, such as in smart healthcare systems.
In the rapidly evolving realm of the Internet of Things (IoT), where interconnected devices weave a tapestry of data and insights, the need for transparency and understanding has never been more critical. As the complexity of IoT applications continues to grow, so does the demand for clarity in how these intelligent systems operate and make decisions. Explainable IoT Applications: A Demystification embarks on a journey to unravel the intricacies of IoT and shed light on the often opaque processes governing smart devices. This book serves as a guide for both seasoned professionals and curious minds delving into the world of Explainable AI, Machine Learning, Deep Learning, blockchain, and cloud within the IoT landscape. The pages unfold a narrative that transcends the technical jargon, providing a comprehensive exploration of the fundamental principles, challenges, and breakthroughs in achieving explainability in IoT applications. From demystifying the inner workings of IoT architectures to dissecting the security considerations that underpin these systems, each chapter strives to empower readers with knowledge and insights that transcend the conventional boundaries of IoT comprehension.
Furthermore, the book addresses the significant challenges of securing IoT systems in an increasingly connected world. It examines the unique vulnerabilities that come with the widespread use of IoT devices, such as data breaches, cyberattacks, and privacy issues, and discusses the complexities of managing these risks. The authors emphasize the importance of implementing security strategies that strike a balance between fostering innovations and protecting user data. The book concludes with a comprehensive exploration of the challenges and opportunities in making IoT systems more transparent and interpretable, offering valuable insights for researchers, developers, and decision-makers aiming to create IoT applications that are both trustworthy and understandable.
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Explainable IoT Applications: A Demystification 
