Securing massive IoT in 6G: Recent solutions, architectures, future directions
A Alotaibi, A Barnawi - Internet of Things, 2023 - Elsevier
Abstract The Internet of things (IoT) is a fast evolving technology that enables the
development of smart services in numerous domains, such as transportation, health care …
development of smart services in numerous domains, such as transportation, health care …
Multi-level trust-based intelligence schema for securing of internet of things (IoT) against security threats using cryptographic authentication
K Mabodi, M Yusefi, S Zandiyan, L Irankhah… - The journal of …, 2020 - Springer
The internet of things (IoT) is able to provide a prediction of linked, universal, and smart
nodes that have autonomous interaction when they present services. Because of wide …
nodes that have autonomous interaction when they present services. Because of wide …
A comprehensive study on LPWANs with a focus on the potential of LoRa/LoRaWAN systems
The Internet of Things (IoT) ecosystem emerges rapidly and paves the way towards
collecting huge amounts of data that can feed innovative information-based systems. The …
collecting huge amounts of data that can feed innovative information-based systems. The …
Machine and deep learning for iot security and privacy: applications, challenges, and future directions
The integration of the Internet of Things (IoT) connects a number of intelligent devices with
minimum human interference that can interact with one another. IoT is rapidly emerging in …
minimum human interference that can interact with one another. IoT is rapidly emerging in …
[PDF][PDF] Energy optimised security against wormhole attack in iot-based wireless sensor networks
An IoT-based wireless sensor network (WSN) comprises many small sensors to collect the
data and share it with the central repositories. These sensors are battery-driven and …
data and share it with the central repositories. These sensors are battery-driven and …
Privacy-preserving federated learning for industrial edge computing via hybrid differential privacy and adaptive compression
With the continuous improvement of hardware computing power, edge computing of
industrial data has been gradually applied. In the past decade, the promotion of edge …
industrial data has been gradually applied. In the past decade, the promotion of edge …
An SDN-enabled proactive defense framework for DDoS mitigation in IoT networks
The Internet of Things (IoT) is becoming truly ubiquitous in every domain of human lives, and
a large number of objects can be connected and enabled to communicate with cloud servers …
a large number of objects can be connected and enabled to communicate with cloud servers …
An energy-efficient networking approach in cloud services for IIoT networks
D Jiang, Y Wang, Z Lv, W Wang… - IEEE Journal on …, 2020 - ieeexplore.ieee.org
We study the problem of the energy-efficient networking in cloud services with
geographically distributed data centers for industrial Internet-of-Things (IIoT) networks …
geographically distributed data centers for industrial Internet-of-Things (IIoT) networks …
A secure IoT-based irrigation system for precision agriculture using the expeditious cipher
C Fathy, HM Ali - Sensors, 2023 - mdpi.com
Due to the recent advances in the domain of smart agriculture as a result of integrating
traditional agriculture and the latest information technologies including the Internet of Things …
traditional agriculture and the latest information technologies including the Internet of Things …
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 …