A survey on COVID-19 impact in the healthcare domain: worldwide market implementation, applications, security and privacy issues, challenges and future prospects
Extensive research has been conducted on healthcare technology and service
advancements during the last decade. The Internet of Medical Things (IoMT) has …
advancements during the last decade. The Internet of Medical Things (IoMT) has …
[HTML][HTML] The role of microservice approach in edge computing: Opportunities, challenges, and research directions
Edge computing has emerged as a promising computing paradigm that enables real-time
data processing and analysis closer to the data source and boosts decision-making …
data processing and analysis closer to the data source and boosts decision-making …
A federated learning framework for cyberattack detection in vehicular sensor networks
Abstract Vehicular Sensor Networks (VSN) introduced a new paradigm for modern
transportation systems by improving traffic management and comfort. However, the …
transportation systems by improving traffic management and comfort. However, the …
Fusion of convolutional neural networks based on Dempster–Shafer theory for automatic pneumonia detection from chest X‐ray images
Deep learning‐based applications for disease detection are essential tools for experts to
effectively diagnose diseases at different stages. In this article, a new approach based on an …
effectively diagnose diseases at different stages. In this article, a new approach based on an …
[HTML][HTML] TNN-IDS: Transformer neural network-based intrusion detection system for MQTT-enabled IoT Networks
Abstract The Internet of Things (IoT) is a global network that connects a large number of
smart devices. MQTT is a de facto standard, lightweight, and reliable protocol for machine-to …
smart devices. MQTT is a de facto standard, lightweight, and reliable protocol for machine-to …
[HTML][HTML] Dtl-ids: An optimized intrusion detection framework using deep transfer learning and genetic algorithm
In the dynamic field of the Industrial Internet of Things (IIoT), the networks are increasingly
vulnerable to a diverse range of cyberattacks. This vulnerability necessitates the …
vulnerable to a diverse range of cyberattacks. This vulnerability necessitates the …
FedMicro-IDA: A federated learning and microservices-based framework for IoT data analytics
Abstract The Internet of Things (IoT) has recently proliferated in both size and complexity.
Using multi-source and heterogeneous IoT data aids in providing efficient data analytics for …
Using multi-source and heterogeneous IoT data aids in providing efficient data analytics for …
[HTML][HTML] EBAKE-SE: A novel ECC-based authenticated key exchange between industrial IoT devices using secure element
Abstract Industrial IoT (IIoT) aims to enhance services provided by various industries, such
as manufacturing and product processing. IIoT suffers from various challenges, and security …
as manufacturing and product processing. IIoT suffers from various challenges, and security …
Smartwater: A service-oriented and sensor cloud-based framework for smart monitoring of water environments
Due to the sharp increase in global industrial production, as well as the over-exploitation of
land and sea resources, the quality of drinking water has deteriorated considerably …
land and sea resources, the quality of drinking water has deteriorated considerably …
MAGRU-IDS: A multi-head attention-based gated recurrent unit for intrusion detection in IIoT networks
The increasing prevalence of the Industrial Internet of Things (IIoT) in industrial
environments amplifies the potential for security breaches and compromises. To monitor IIoT …
environments amplifies the potential for security breaches and compromises. To monitor IIoT …