Название: Intelligent Secure Trustable Things
Автор: Michael Karner, Johannes Peltola, Michael Jerne, Lukas Kulas
Издательство: Springer
Серия: Studies in Computational Intelligence
Год: 2024
Страниц: 446
Язык: английский
Формат: pdf (true)
Размер: 16.4 MB
This book provides an overview about results of the InSecTT project. Artificial Intelligence of Things (AIoT) is the natural evolution for both Artificial Intelligence (AI) and Internet of Things (IoT) because they are mutually beneficial. AI increases the value of the IoT through machine learning by transforming the data into useful information, while the IoT increases the value of AI through connectivity and data exchange. Therefore, InSecTT—Intelligent Secure Trustable Things, a pan-European effort with over 50 key partners from 12 countries, provides intelligent, secure and trustworthy systems for industrial applications to provide comprehensive cost-efficient solutions of intelligent, end-to-end secure, trustworthy connectivity and interoperability to bring the Internet of Things and Artificial Intelligence together. InSecTT creates trust in AI-based intelligent systems and solutions as a major part of the AIoT. The Internet of Things (IoT) is a revolutionary change for many sectors: Fitness trackers measure our movements, smart fire extinguishers monitor their own readiness for action, and cars turned out to become fully connected vehicles. The availability of the collected data goes hand in hand with the development of Artificial Intelligence (AI) and Machine Learning (ML) algorithms to process them. Despite numerous benefits, the vulnerability of these devices in terms of security remains an issue. Hacks of webcams, printers, children’s toys, and even vacuum cleaners as well as Distributed Denial-of-service (DDoS) attacks reduce confidence in this technology. The first part of the book provides an introduction into the main topics of the InSecTT project: How to bring Internet of Things and Artificial Intelligence together to form the Artificial Intelligence of Things, a reference architecture for such kind of systems and how to develop trustworthy, ethical AI systems. In the second part, we show the development of essential technologies for creating trustworthy AIoT systems. The third part of the book is composed of a broad variety of examples on how to design, develop and validate trustworthy AIoT systems for industrial applications (including automotive, avionics, smart infrastructure, health care, manufacturing and railway).
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