An intelligent trust cloud management method for secure clustering in 5G enabled internet of medical things
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 …
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 …
[HTML][HTML] IoT trust and reputation: a survey and taxonomy
IoT is one of the fastest-growing technologies and it is estimated that more than a billion
devices would be utilised across the globe by the end of 2030. To maximise the capability of …
devices would be utilised across the globe by the end of 2030. To maximise the capability of …
A deep learning approach for intrusion detection in Internet of Things using focal loss function
Abstract Internet of Things (IoT) is likely to revolutionize healthcare, energy, education,
transportation, manufacturing, military, agriculture, and other industries. However, for the …
transportation, manufacturing, military, agriculture, and other industries. However, for the …
AI-enabled Trust in Distributed Networks
Cybersecurity, as a crucial aspect of the information society, requires significant attention.
Fortunately, the concept of trust, originating from the field of sociology, has been under …
Fortunately, the concept of trust, originating from the field of sociology, has been under …
Artificial intelligence enabled cyber security defense for smart cities: A novel attack detection framework based on the MDATA model
Y Jia, Z Gu, L Du, Y Long, Y Wang, J Li… - Knowledge-Based …, 2023 - Elsevier
Smart cities have attracted a lot of attention from interdisciplinary research, and plenty of
artificial intelligence based solutions have been proposed. However, cyber security has …
artificial intelligence based solutions have been proposed. However, cyber security has …
Etd: An efficient time delay attack detection framework for uav networks
In recent years, Unmanned Aerial Vehicle (UAV) networks are widely used in both military
and civilian scenarios. However, due to the distributed nature, they are also vulnerable to …
and civilian scenarios. However, due to the distributed nature, they are also vulnerable to …
An efficient trust-based decision-making approach for WSNs: Machine learning oriented approach
Abstract Wireless Sensor Networks (WSNs) are often used for critical applications where
trust and security are of paramount importance. Trust evaluation is one of the key …
trust and security are of paramount importance. Trust evaluation is one of the key …
[HTML][HTML] A trust-based model for secure routing against RPL attacks in internet of things
In IoT networks, the de facto Routing Protocol for Low Power and Lossy Networks (RPL) is
vulnerable to various attacks. Routing attacks in RPL-based IoT are becoming critical with …
vulnerable to various attacks. Routing attacks in RPL-based IoT are becoming critical with …
[HTML][HTML] Protocol-specific and sensor network-inherited attack detection in IoT using machine learning
For networks with limited resources, such as IoT-enabled smart homes, smart industrial
equipment, and urban infrastructures, the Routing Protocol for Low-power and Lossy …
equipment, and urban infrastructures, the Routing Protocol for Low-power and Lossy …