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Internet of Everything [electronic resource] : Second EAI International Conference, IoECon 2023, Guimarães, Portugal, September 28-29, 2023, Proceedings /

Contributor(s): Material type: TextTextSeries: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ; 551Publisher: Cham : Springer Nature Switzerland : Imprint: Springer, 2024Edition: 1st ed. 2024Description: X, 145 p. 26 illus., 18 illus. in color. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783031515729
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:
Machine-to-Machine (M2M) -- Using the Internet of Everything for High-Performance Computing -- Using the Internet of Everything for Data Centers -- Jamming LoRa and Evaluation of Ease of Implementation -- People-to-Machine or Machine-to-People (P2M) or (M2P) -- What is a Good API? A Survey on the Use and Design of Application Programming Interfaces -- Machine learning for insurance fraud detection -- A simple distributed approach for running Machine Learning based simulations in Intrusion Detection Systems -- Exploring Risk Analysis methods in IoE projects: a Smart Campus use case -- Privacy concerns in Smart Indoor Environments in the Internet of Everything Era: A smart university campus case -- People-to-People (P2P) -- Curricular Excursions on the Internet of Everything -- Planning of Urban Freight Delivery During Peak and Off-peak Traffic Periods -- Workshop: Towards Open Data Practices at the International Conference on the Internet of Everything.
In: Springer Nature eBookSummary: This book constitutes the refereed post-conference proceedings of the Second International Conference on Internet of Everything, IoECon 2023, which took place in Guimarães, Portugal, in September 2023. IoECon 2023 presents IoT 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 11 revised full papers were carefully reviewed and selected from 38 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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Machine-to-Machine (M2M) -- Using the Internet of Everything for High-Performance Computing -- Using the Internet of Everything for Data Centers -- Jamming LoRa and Evaluation of Ease of Implementation -- People-to-Machine or Machine-to-People (P2M) or (M2P) -- What is a Good API? A Survey on the Use and Design of Application Programming Interfaces -- Machine learning for insurance fraud detection -- A simple distributed approach for running Machine Learning based simulations in Intrusion Detection Systems -- Exploring Risk Analysis methods in IoE projects: a Smart Campus use case -- Privacy concerns in Smart Indoor Environments in the Internet of Everything Era: A smart university campus case -- People-to-People (P2P) -- Curricular Excursions on the Internet of Everything -- Planning of Urban Freight Delivery During Peak and Off-peak Traffic Periods -- Workshop: Towards Open Data Practices at the International Conference on the Internet of Everything.

This book constitutes the refereed post-conference proceedings of the Second International Conference on Internet of Everything, IoECon 2023, which took place in Guimarães, Portugal, in September 2023. IoECon 2023 presents IoT 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 11 revised full papers were carefully reviewed and selected from 38 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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