Generative adversarial learning for intelligent trust management in 6G wireless networks
The emerging sixth generation (6G) is the integration of heterogeneous wireless networks,
which can seamlessly support anywhere and anytime networking. But high quality of trust …
which can seamlessly support anywhere and anytime networking. But high quality of trust …
An intelligent trust cloud management method for secure clustering in 5G enabled internet of medical things
L Yang, K Yu, SX Yang, C Chakraborty… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
5G edge computing enabled Internet of Medical Things (IoMT) is an efficient technology to
provide decentralized medical services while device-to-device (D2D) communication is a …
provide decentralized medical services while device-to-device (D2D) communication is a …
An improved levy chaotic particle swarm optimization algorithm for energy-efficient cluster routing scheme in industrial wireless sensor networks
T Luo, J Xie, B Zhang, Y Zhang, C Li, J Zhou - Expert Systems with …, 2023 - Elsevier
In the last few years, with the persistent improvement of Industrial Wireless Sensor Networks
(IWSNs), the application of Industrial Internet of Things (IIoT) has ended up progressively far …
(IWSNs), the application of Industrial Internet of Things (IIoT) has ended up progressively far …
Improved deep convolutional neural network based malicious node detection and energy-efficient data transmission in wireless sensor networks
M Kumar, P Mukherjee, K Verma… - … on Network Science …, 2021 - ieeexplore.ieee.org
Wireless Sensors Networks (WSN) is the self-configured Wireless Ad hoc Networks
(WANET) for Internet of Things (IoT) which consists of a huge measure of resource …
(WANET) for Internet of Things (IoT) which consists of a huge measure of resource …
EID-GAN: Generative adversarial nets for extremely imbalanced data augmentation
Imbalanced data cause deep neural networks to output biased results, and it becomes more
serious when facing extremely imbalanced data regarding the outliers with tiny size (the …
serious when facing extremely imbalanced data regarding the outliers with tiny size (the …
A Fuzzy Trust Evaluation of Cloud Collaboration Outlier Detection in Wireless Sensor Networks.
One of the primary challenges in Wireless Sensor Networks (WSNs) is security. This
research proposes an efficient fuzzy trust evaluation of cloud collaboration outlier detection …
research proposes an efficient fuzzy trust evaluation of cloud collaboration outlier detection …
[HTML][HTML] Neighborhood representative for improving outlier detectors
Over the decades, traditional outlier detectors have ignored the group-level factor when
calculating outlier scores for objects in data by evaluating only the object-level factor, failing …
calculating outlier scores for objects in data by evaluating only the object-level factor, failing …
Underwater searching and multi-round data collection via AUV swarms: An energy-efficient AoI-aware MAPPO approach
Autonomous underwater vehicles (AUVs) play a crucial role in data collection for underwater
acoustic sensor networks (UWASNs). The limited capacity of individual AUV and the need …
acoustic sensor networks (UWASNs). The limited capacity of individual AUV and the need …
A secure and dependable trust assessment (SDTS) scheme for industrial communication networks
Due to tamper-resistant sensor nodes and wireless media, Industrial Wireless Sensor
Networks (WSNs) are susceptible to various security threats that severely affect …
Networks (WSNs) are susceptible to various security threats that severely affect …
Generative adversarial learning for trusted and secure clustering in industrial wireless sensor networks
L Yang, SX Yang, Y Li, Y Lu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Traditional machine learning techniques have been widely used to establish the trust
management systems. However, the scale of training dataset can significantly affect the …
management systems. However, the scale of training dataset can significantly affect the …