Internet of Things, Smart Computing and Technology: A Roadmap Ahead

1. Auflage 2020
ISBN: 978-3-030-39046-4
Verlag: Springer International Publishing

Buch, Englisch, Band 266, 403 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 793 g

Reihe: Studies in Systems, Decision and Control

This book addresses a broad range of topics concerning machine learning, big data, the Internet of things (IoT), and security in the IoT. Its goal is to bring together several innovative studies on these areas, in order to help researchers, engineers, and designers in several interdisciplinary domains pursue related applications. It presents an overview of the various algorithms used, focusing on the advantages and disadvantages of each in the fields of machine learning and big data. It also covers next-generation computing paradigms that are expected to support wireless networking with high data transfer rates and autonomous decision-making capabilities. 
In turn, the book discusses IoT applications (e.g. healthcare applications) that generate a huge amount of sensor data and imaging data that must be handled correctly for further processing. In the traditional IoT ecosystem, cloud computing offers a solution for the efficient management of huge amounts of data, thanks to its ability to access shared resources and provide a common infrastructure in a ubiquitous manner. Though these new technologies are invaluable, they also reveal serious IoT security challenges. IoT applications are vulnerable to various types of attack such as eavesdropping, spoofing and false data injection, the man-in-the-middle attack, replay attack, denial-of-service attack, jamming attack, flooding attack, etc. These and other security issues in the Internet of things are explored in detail. 
In addition to highlighting outstanding research and recent advances from around the globe, the book reports on current challenges and future directions in the IoT. Accordingly, it offers engineers, professionals, researchers, and designers an applied-oriented resource to support them in a broad range of interdisciplinary areas.

Zielgruppe

Research

Autoren/Hrsg.

Dey, Nilanjan

Mahalle, Parikshit. N.

Hassanien, Aboul Ella

Shafi, Pathan Mohd

Kimabahune, Vinod V.

Fachgebiete

• Technische Wissenschaften Energietechnik | Elektrotechnik Elektrotechnik
• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Regelungstechnik

Inhaltsverzeichnis

Efficacy of a classical and a few modified machine learning algorithms in forecasting financial time series.- Analysis of facial expression recognition of visible, thermal and fused imaginary in indoor and outdoor environment.- AI – Assisted Chatbot for E-Commerce to Address Selection of Products from Multiple Products.- A Novel Approach to detect microcalcification for Accurate Detection for Diagnosis of Breast Cancer.- Rethinking Decentralised Identifiers and Verifiable Credentials for the Internet of Things.- The Invisible Eye - A Security Architecture to Protect Motorways.