Internet of Things – ICIOT 2018

Internet of Things – ICIOT 2018
Author: Dimitrios Georgakopoulos
Publisher: Springer
Total Pages: 193
Release: 2018-06-18
Genre: Computers
ISBN: 3319943707

This book constitutes the proceedings of the International Conference on Internet of Things, ICIOT 2018, held in Seattle, WA, USA, in June 2018. The 13 full papers and 1 short paper presented in this volume was carefully reviewed and selected for inclusion in this book. The contributions are organized in topical sections named: Research Track – Architecture; Research Track – Smart IoT; Application and Industry Track; and Short Paper Track. They deal with research and application innovations in the internet of things services.

Internet of Things - ICIOT 2020

Internet of Things - ICIOT 2020
Author: Wei Song
Publisher: Springer Nature
Total Pages: 174
Release: 2020-09-17
Genre: Computers
ISBN: 303059615X

This book constitutes the proceedings of the International Conference on Internet of Things, ICIOT 2020, held virtually as part of SCF 2020, in Honolulu, HI, USA, in September 2020. The 8 full and 4 short papers presented in this volume were carefully reviewed and selected from 20 submissions. The conference Internet of Things (ICIOT 2020) covers state-of-the-art technologies and best practices of Internet of Things, as well as emerging standards and research topics which would define the future of Internet of Things.

Proceedings of International Conference on Computational Intelligence, Data Science and Cloud Computing

Proceedings of International Conference on Computational Intelligence, Data Science and Cloud Computing
Author: Valentina Emilia Balas
Publisher: Springer Nature
Total Pages: 795
Release: 2021
Genre: Artificial intelligence
ISBN: 9813349689

This book includes selected papers presented at International Conference on Computational Intelligence, Data Science and Cloud Computing (IEM-ICDC) 2020, organized by the Department of Information Technology, Institute of Engineering & Management, Kolkata, India, during 25-27 September 2020. It presents substantial new research findings about AI and robotics, image processing and NLP, cloud computing and big data analytics as well as in cyber security, blockchain and IoT, and various allied fields. The book serves as a reference resource for researchers and practitioners in academia and industry.

Principles of Internet of Things (IoT) Ecosystem: Insight Paradigm

Principles of Internet of Things (IoT) Ecosystem: Insight Paradigm
Author: Sheng-Lung Peng
Publisher: Springer Nature
Total Pages: 626
Release: 2019-11-13
Genre: Technology & Engineering
ISBN: 3030335968

This book discusses the evolution of future-generation technologies through the Internet of things, bringing together all the related technologies on a single platform to offer valuable insights for undergraduate and postgraduate students, researchers, academics and industry practitioners. The book uses data, network engineering and intelligent decision- support system-by-design principles to design a reliable IoT-enabled ecosystem and to implement cyber-physical pervasive infrastructure solutions. It takes readers on a journey that begins with understanding the insight paradigm of IoT-enabled technologies and how it can be applied. It walks readers through engaging with real-time challenges and building a safe infrastructure for IoT-based, future-generation technologies. The book helps researchers and practitioners to understand the design architecture through IoT and the state of the art in IoT countermeasures. It also highlights the differences between heterogeneous platforms in IoT-enabled infrastructure and traditional ad hoc or infrastructural networks, and provides a comprehensive discussion on functional frameworks for IoT, object identification, IoT domain model, RFID technology, wearable sensors, WBAN, IoT semantics, knowledge extraction, and security and privacy issues in IoT-based ecosystems. Written by leading international experts, it explores IoT-enabled insight paradigms, which are utilized for the future benefit of humans. It also includes references to numerous works. Divided into stand-alone chapters, this highly readable book is intended for specialists, researchers, graduate students, designers, experts, and engineers involved in research on healthcare-related issues.

Modern Approaches in IoT and Machine Learning for Cyber Security

Modern Approaches in IoT and Machine Learning for Cyber Security
Author: Vinit Kumar Gunjan
Publisher: Springer Nature
Total Pages: 415
Release: 2024-01-08
Genre: Technology & Engineering
ISBN: 3031099559

This book examines the cyber risks associated with Internet of Things (IoT) and highlights the cyber security capabilities that IoT platforms must have in order to address those cyber risks effectively. The chapters fuse together deep cyber security expertise with artificial intelligence (AI), machine learning, and advanced analytics tools, which allows readers to evaluate, emulate, outpace, and eliminate threats in real time. The book’s chapters are written by experts of IoT and machine learning to help examine the computer-based crimes of the next decade. They highlight on automated processes for analyzing cyber frauds in the current systems and predict what is on the horizon. This book is applicable for researchers and professionals in cyber security, AI, and IoT.

Smart Cities: Cyber Situational Awareness to Support Decision Making

Smart Cities: Cyber Situational Awareness to Support Decision Making
Author: Nataliia Neshenko
Publisher: Springer Nature
Total Pages: 134
Release: 2022-11-07
Genre: Computers
ISBN: 3031184645

This book overviews the drivers behind the smart city vision, describes its dimensions and introduces the reference architecture. It further enumerates and classifies threats targeting the smart city concept, links corresponding attacks, and traces the impact of these threats on operations, society and the environment. This book also introduces analytics-driven situational awareness, provides an overview of the respective solutions and highlights the prevalent limitations of these methods. The research agenda derived from the study emphasizes the demand and challenges for developing holistic approaches to transition these methods to practice equipping the user with extensive knowledge regarding the detected attack instead of a sole indicator of ongoing malicious events. It introduces a cyber-situational awareness framework that can be integrated into smart city operations to provide timely evidence-based insights regarding cyber incidents and respective system responses to assist decision-making. This book targets researchers working in cybersecurity as well as advanced-level computer science students focused on this field. Cybersecurity operators will also find this book useful as a reference guide.

Federated Learning for Internet of Medical Things

Federated Learning for Internet of Medical Things
Author: Pronaya Bhattacharya
Publisher: CRC Press
Total Pages: 308
Release: 2023-06-16
Genre: Computers
ISBN: 1000891313

This book intends to present emerging Federated Learning (FL)-based architectures, frameworks, and models in Internet of Medical Things (IoMT) applications. It intends to build on the basics of the healthcare industry, the current data sharing requirements, and security and privacy issues in medical data sharing. Once IoMT is presented, the book shifts towards the proposal of privacy-preservation in IoMT, and explains how FL presents a viable solution to these challenges. The claims are supported through lucid illustrations, tables, and examples that present effective and secured FL schemes, simulations, and practical discussion on use-case scenarios in a simple manner. The book intends to create opportunities for healthcare communities to build effective FL solutions around the presented themes, and to support work in related areas that will benefit from reading the book. It also intends to present breakthroughs and foster innovation in FL-based research, specifically in the IoMT domain. The emphasis of this book is on understanding the contributions of IoMT to healthcare analytics, and its aim is to provide insights including evolution, research directions, challenges, and the way to empower healthcare services through federated learning. The book also intends to cover the ethical and social issues around the recent advancements in the field of decentralized Artificial Intelligence. The book is mainly intended for undergraduates, post-graduates, researchers, and healthcare professionals who wish to learn FL-based solutions right from scratch, and build practical FL solutions in different IoMT verticals.