Semantic communications between distributed cyber-physical systems towards collaborative automation for smart manufacturing

Y Lu, MR Asghar - Journal of manufacturing systems, 2020 - Elsevier
Abstract Machine-to-machine (M2M) communication is a crucial technology for collaborative
manufacturing automation in the Industrial Internet of Things (IIoT)-empowered industrial …

A multi‐attack resilient lightweight IoT authentication scheme

A Adeel, M Ali, AN Khan, T Khalid… - Transactions on …, 2022 - Wiley Online Library
Majority of the devices in the Internet of Things (IoT) are deployed in an environment that is
susceptible to cyber‐attacks. Due to the resource‐constraint nature of IoT, it is very hard to …

Data enrichment toolchain: A data linking and enrichment platform for heterogeneous data

L Sánchez, J Lanza, JR Santana, P Sotres… - IEEE …, 2023 - ieeexplore.ieee.org
Proliferation of data sources associated to Internet of Things (IoT) deployment as well as
those bound to Open Data Portals (eg European Data Portal, Municipalities Open Data …

An MQTT-based context-aware autonomous system in oneM2M architecture

G Kim, S Kang, J Park, K Chung - IEEE Internet of Things …, 2019 - ieeexplore.ieee.org
Having a seamless connection between independently developed platforms has recently
become an important issue. In addition, research is underway on auto-configuration to …

Challenges to be addressed to realize Internet of Things solutions for smart environments

L Patrono, L Atzori, P Šolić, M Mongiello… - Future generation …, 2020 - Elsevier
Abstract The Internet of Things (IoT) includes billions of smart “things” connected and able to
provide sensing, actuating, and data processing capabilities in order to create value-added …

A secure authentication technique in internet of medical things through machine learning

AA Mawgoud, AI Karadawy, BS Tawfik - arXiv preprint arXiv:1912.12143, 2019 - arxiv.org
The rapid growth of the Internet of Things technology in healthcare domain led to the
appearance of many security threats and risks. It became very challenging to provide full …

Detection of health-related events and behaviours from wearable sensor lifestyle data using symbolic intelligence: a proof-of-concept application in the care of multiple …

TG Stavropoulos, G Meditskos, I Lazarou… - Sensors, 2021 - mdpi.com
In this paper, we demonstrate the potential of a knowledge-driven framework to improve the
efficiency and effectiveness of care through remote and intelligent assessment. More …

[PDF][PDF] Optimizing blockchain for healthcare IoT: a practical guide to navigating scalability, privacy, and efficiency trade-offs

MA Alhija, O Al-Baik, A Hussein… - Indonesian J. Electr. Eng …, 2024 - researchgate.net
The adoption of blockchain technology provides significant disruptive benefits to internet-of-
things (IoT) applications in healthcare in vital aspects like security, integrity, transparency …

Incremental hierarchical clustering driven automatic annotations for unifying IoT streaming data

S Balakrishna, M Thirumaran, V Kumar, ERN Valdéz - IJIMAI, 2020 - dialnet.unirioja.es
Resumen In the Internet of Things (IoT), Cyber-Physical Systems (CPS), and sensor
technologies huge and variety of streaming sensor data is generated. The unification of …

Modes of collaboration in digital transformation of municipal wastewater management

H Hietala, PM Rossi, E Annanperä… - … on Information Systems …, 2021 - diva-portal.org
Digital transformation introduces new opportunities for public services, such as wastewater
management. The opportunities include better interoperability and data availability, leading …