Nedjah / Abd El-Latif / Gupta Robotics and AI for Cybersecurity and Critical Infrastructure in Smart Cities

Erscheinungsjahr 2022
ISBN: 978-3-030-96737-6
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 1030, 262 Seiten, eBook

Reihe: Studies in Computational Intelligence

This book bridges principles and real-world applications, while also providing thorough theory and technology for the development of artificial intelligence and robots. A lack of cross-pollination between AI and robotics research has led to a lack of progress in both fields. Now that both technologies have made significant strides, there is increased interest in combining the two domains in order to create a new integrated AI and robotics trend. In order to achieve wiser urbanization and more sustainable development, AI in smart cities will play a significant part in equipping the cities with advanced features that will allow residents to safely move about, stroll, shop, and enjoy a more comfortable way of life.If you are a student, researcher, engineer, or professional working in this field, or if you are just curious in the newest advancements in robotics and artificial intelligence for cybersecurity, this book is for you!

Zielgruppe

Research

Autoren/Hrsg.

Nedjah, Nadia

Abd El-Latif, Ahmed A.

Gupta, Brij B.

Mourelle, Luiza M.

Inhaltsverzeichnis

Deep Learning in Robotics for strengthening Industry 4.0.: Opportunities, Challenges and Future Directions.- The Design of a Pheromone-based Robotic Varroa Trap for Beekeeping Applications.- Walk Through Event Stream Processing Architecture, Use Cases and Frameworks Survey.- Artificial Intelligence for Cybersecurity: Recent Advancements, Challenges and Opportunities.- Privacy & Security Concerns in Edge Computing-based Smart Cities.- A Taxonomy of DDoS Defense Mechanism in Software Defined Networking (SDN).- Developing instrument for investigation of blockchain technology.- An IoT-based system for expert user supporting to monitor, manage and protect Cultural Heritage Buildings.- Commercialising Blockchain in a Smart City: Autonomous Vehicles, Cryptocurrency, and Contract Law.- Finding all shortest meaningful meta-paths between two vertices of a Secured Large Heterogeneous Information Network using distributed algorithm.- Creation of a Dataset Modeling the Behavior of Malware Affectingthe Confidentiality of Data Managed by IoT Devices.- Anomaly Detection on Static and Dynamic Graphs using Graph Convolutional Neural Network.- Secure Medical Data sharing through Blockchain and Decentralized Models.