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Internet of Things: 7th IFIP WG 5.5 International Cross-Domain Conference, IFIPIoT 2024, Nice, France, November 68, 2024, Proceedings [Kõva köide]

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  • Formaat: Hardback, 292 pages, kõrgus x laius: 235x155 mm, 95 Illustrations, color; 12 Illustrations, black and white; XIII, 292 p. 107 illus., 95 illus. in color., 1 Hardback
  • Sari: IFIP Advances in Information and Communication Technology 737
  • Ilmumisaeg: 29-Dec-2024
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3031818997
  • ISBN-13: 9783031818998
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Internet of Things: 7th IFIP WG 5.5 International Cross-Domain Conference, IFIPIoT 2024, Nice, France, November 68, 2024, ProceedingsSuurem pilt
  • Formaat: Hardback, 292 pages, kõrgus x laius: 235x155 mm, 95 Illustrations, color; 12 Illustrations, black and white; XIII, 292 p. 107 illus., 95 illus. in color., 1 Hardback
  • Sari: IFIP Advances in Information and Communication Technology 737
  • Ilmumisaeg: 29-Dec-2024
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3031818997
  • ISBN-13: 9783031818998
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9783031818998.html
Märksõnad:
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 2024.737





The 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.
.- 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.