Analyzing failures in adoption of smart technologies for medical waste management systems: a type-2 neutrosophic-based approach
Medical waste management (MWM) systems are considered among the most important
urban systems nowadays. Cities in different countries prefer to transform their infrastructure …
urban systems nowadays. Cities in different countries prefer to transform their infrastructure …
Link budget analysis for backscatter-based passive IoT
Massive connectivity of billions of communicating devices for fifth-generation (5G) and
beyond networks requires the deployment of self-sustaining, maintenance-free, and low-cost …
beyond networks requires the deployment of self-sustaining, maintenance-free, and low-cost …
PDAE: Efficient network intrusion detection in IoT using parallel deep auto-encoders
A Basati, MM Faghih - Information Sciences, 2022 - Elsevier
Network intrusion detection is one of the most important components of mobile networks
security. In recent years, the application of neural networks has been very popular in …
security. In recent years, the application of neural networks has been very popular in …
Indicators for maturity and readiness for digital forensic investigation in era of industrial revolution 4.0
KAZ Ariffin, FH Ahmad - Computers & Security, 2021 - Elsevier
Abstract The introduction of Industrial Revolution 4.0 (IR 4.0) brings benefits to the industries
and our daily life. Innovation such as the Internet of Things, cloud computing, and blockchain …
and our daily life. Innovation such as the Internet of Things, cloud computing, and blockchain …
A machine learning approach to predict the k-coverage probability of wireless multihop networks considering boundary and shadowing effects
Network coverage is a pivotal performance metric of wireless multihop networks (WMNs)
determining the quality of service rendered by the network. Earlier, a few studies have …
determining the quality of service rendered by the network. Earlier, a few studies have …
Comprehensive survey of iot, machine learning, and blockchain for health care applications: A topical assessment for pandemic preparedness, challenges, and …
Internet of Things (IoT) communication technologies have brought immense revolutions in
various domains, especially in health monitoring systems. Machine learning techniques …
various domains, especially in health monitoring systems. Machine learning techniques …
IoT with multimedia investigation: A secure process of digital forensics chain-of-custody using blockchain hyperledger sawtooth
Abstract Internet of Things (IoT)-enabled wireless surveillance systems are gaining more
attention because of the robust development in information technology. It is due to the …
attention because of the robust development in information technology. It is due to the …
Federated deep reinforcement learning for traffic monitoring in SDN-based IoT networks
This paper proposes a novel traffic monitoring framework, namely, DeepMonitor, for SDN-
based IoT networks to provide fine-grained traffic analysis capability for different IoT traffic …
based IoT networks to provide fine-grained traffic analysis capability for different IoT traffic …
Blockchain-oriented privacy protection of sensitive data in the internet of vehicles
The Internet of Vehicles is the specific instantiation of the Internet of Things in the field of
transportation. Vehicle and driving data are often used to mine information about people's …
transportation. Vehicle and driving data are often used to mine information about people's …
Privacy protection for fog computing and the internet of things data based on blockchain
Y Liu, J Zhang, J Zhan - Cluster Computing, 2021 - Springer
With the development of the Internet of Things (IoT) field, more and more data are generated
by IoT devices and transferred over the network. However, a large amount of IoT data is …
by IoT devices and transferred over the network. However, a large amount of IoT data is …