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Internet of Everything [electronic resource] : The First EAI International Conference, IoECon 2022, Guimarães, Portugal, September 16-17, 2022, Proceedings /

Contributor(s): Material type: TextTextSeries: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ; 458Publisher: Cham : Springer Nature Switzerland : Imprint: Springer, 2023Edition: 1st ed. 2023Description: X, 133 p. 37 illus., 29 illus. in color. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783031252228
Subject(s): Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification:
  • 005.3 23
LOC classification:
  • QA76.76.A65
Online resources:
Contents:
People-to-People -- Perspectives on the Internet of Everything -- Guidelines to Develop Consumers Cyber Resilience Capabilities in The IoE Ecosystem -- A competency definition based on the knowledge, skills, and human dispositions constructs -- The influence of the image and photography of E-Commerce products on the purchase decision of online consumers -- People-to-Machine and Machine-to-People -- The Man-Machine Relationship on the Web: Motivation to Use the Internet -- Cybersecurity Challenges in Healthcare Medical Devices -- A WSN real-time monitoring system approach for measuring Indoor Air Quality using the Internet of Things -- Scalability of IoT Systems: Do Execution Costs Predict the Quality of Service? -- Machine-to-Machine -- Transient Session Key Derivation Protocol for Key Escrow Prevention in Public Key Infrastructure -- Evaluating CoAP, OSCORE, DTLS and HTTPS for Secure Device Communication.
In: Springer Nature eBookSummary: This book constitutes the refereed post-conference proceedings of the EAI International Conference on Internet of Everything, IoECon 2022, which took place in Guimarães, Portugal in September 16-17 2022. IoECon 2022 presents IoE paradigms to their whole dimension, intelligently connecting devices, people, processes, data, and things. IoE is multi-disciplinary and offers an opportunity to explore the co-relations between different areas, techniques, and theories about a new cyber world. The 10 revised full papers were carefully reviewed and selected from 26 submissions. The papers focus on a complete ecosystem that digitally interconnects everything, including people-to-people, people-to-machines, and machines-to-machines.
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People-to-People -- Perspectives on the Internet of Everything -- Guidelines to Develop Consumers Cyber Resilience Capabilities in The IoE Ecosystem -- A competency definition based on the knowledge, skills, and human dispositions constructs -- The influence of the image and photography of E-Commerce products on the purchase decision of online consumers -- People-to-Machine and Machine-to-People -- The Man-Machine Relationship on the Web: Motivation to Use the Internet -- Cybersecurity Challenges in Healthcare Medical Devices -- A WSN real-time monitoring system approach for measuring Indoor Air Quality using the Internet of Things -- Scalability of IoT Systems: Do Execution Costs Predict the Quality of Service? -- Machine-to-Machine -- Transient Session Key Derivation Protocol for Key Escrow Prevention in Public Key Infrastructure -- Evaluating CoAP, OSCORE, DTLS and HTTPS for Secure Device Communication.

This book constitutes the refereed post-conference proceedings of the EAI International Conference on Internet of Everything, IoECon 2022, which took place in Guimarães, Portugal in September 16-17 2022. IoECon 2022 presents IoE paradigms to their whole dimension, intelligently connecting devices, people, processes, data, and things. IoE is multi-disciplinary and offers an opportunity to explore the co-relations between different areas, techniques, and theories about a new cyber world. The 10 revised full papers were carefully reviewed and selected from 26 submissions. The papers focus on a complete ecosystem that digitally interconnects everything, including people-to-people, people-to-machines, and machines-to-machines.

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