Rey / Tigli / Franquet Internet of Things

7th IFIP WG 5.5 International Cross-Domain Conference, IFIPIoT 2024, Nice, France, November 6–8, 2024, Proceedings
Erscheinungsjahr 2024
ISBN: 978-3-031-81900-1
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 737, 292 Seiten, eBook

Reihe: IFIP Advances in Information and Communication Technology

This book constitutes the refereed proceedings of the 7th IFIP WG 5.5 International Cross-Domain Conference on Internet of Things, IFIPIoT 2024, in Nice, France, in November 2024.737The 13 full papers and 4 short papers presented were carefully reviewed and selected from a total of 28 submissions to the main conference. They were organized in topical sections as follows: Hardware/Software Solutions for IoT and CPS; Electronics and Signal Processing for IoT ; Networking and Communications Technology for IoT; Artificial Intelligence and Machine Learning Technologies for IoT; Cyber Security/Privacy/Trust for IoT and CPS and IoT or CPS Applications and Use cases.

Zielgruppe

Research

Autoren/Hrsg.

Rey, Gaëtan

Tigli, Jean-Yves

Franquet, Erwin

Inhaltsverzeichnis

.-  Hardware/Software Solutions for IoT and CPS . .- Relocation of container-based services in a MEC-NFV orchestrated environment..- The Good, the Bad and the Ugly: Investigating the Effectiveness of Graph Deep Neural Networks for Anomaly Detection in Industrial Control Systems..- Programmable and Scalable Bit-Sliced VLSI Architecture for Decision Tree-Based Machine Learning Edge Inference. .-  Electronics and Signal Processing for IoT..-  Efficient Implementation of Authenticated Encryption on 16-bit MSP430 Microcontrollers. .-  Networking and Communications Technology for IoT..-  Multi-layered Model for Performance Evaluation of oneM2M-based IoT Solution. .- An Information-Theoretic Approach for Anomaly Detection in RPL-based Internet of Things..- Formal Development of a Delay-Tolerant Multicast Protocol for Wireless Sensors. .-  Artificial Intelligence and Machine Learning Technologies for IoT..-  Graph-based Classification of IoT Malwarev Families Enhanced by Fuzzy Hashing. .- Error Resiliency and Adversarial Robustness in Convolutional Neural Networks: an Empirical Analysis. .-  Cyber Security/Privacy/Trust for IoT and CPS..-  A Blockchain and IPFS-Enhanced Model for Attack Detection and Resource Efficiency. .- Hardware Trojan Key-Corruption Detection with Automated Neural Architecture Search. .-  IoT or CPS Applications and Use cases..-  Actuation Conflict Management in Internet of Things Systems DevOps: A Discrete Event Modeling And Simulation Approach. .- Leveraging Task-Specific VAEs for Efficient Exemplar Generation in HAR..- The Role of Ethics in Smart Homes – A Workshop-Based Approach..- Digital Twin-based Security Orchestration, Automation and Response for IoT and CPS..- GreenMov: a Fiware based Interoperable Solution to Reduce the Environmental Impact of Mobility..- Dynamic IoT Determination of Overall Heat Transfer Coefficient in a Portable Cabin in Kuwait.