Achieving efficient energy-aware security in IoT networks: a survey of recent solutions and research challenges

M Mahamat, G Jaber, A Bouabdallah - Wireless Networks, 2023 - Springer
The advent of the Internet of Things (IoT), with thousands of connected, heterogeneous, and
energy-constrained devices, enables new application domains and improves our everyday …

[HTML][HTML] AI based energy harvesting security methods: A survey

M Mohammadi, I Sohn - ICT Express, 2023 - Elsevier
Energy Harvesting (EH) as a power source plays a critical role in the advent of new
technologies such as the Internet of Things (IoT). But, by providing power within the …

Deep Learning Aided Secure Transmission in Wirelessly Powered Untrusted Relaying in the Face of Hardware Impairments

V Shahiri, M Forouzesh, H Behroozi… - IEEE Open Journal …, 2024 - ieeexplore.ieee.org
Limited power and computational resources make the employment of complex classical
encryption schemes unrealistic in resource-limited networks, eg, the Internet of Things (IoT) …

GNN-based meta-learning approach for adaptive power control in dynamic D2D communications

VC Luu, JP Hong - IEEE Transactions on Vehicular Technology, 2023 - ieeexplore.ieee.org
This article proposes a deep learning-based power control method for maximizing the sum
rate subject to rate requirements in the interference-limited device-to-device (D2D) …

Deep Learning Framework for Two-Way MISO Wireless-Powered Interference Channels

K Lee, W Lee - IEEE Transactions on Wireless …, 2023 - ieeexplore.ieee.org
In this paper, we present a realistic and novel protocol for two-way communication in
multiple-input-single-output (MISO) wireless-powered interference channels, namely, a …

Deep learning-based transmit power control for wireless-powered secure communications with heterogeneous channel uncertainty

W Lee, K Lee - IEEE Transactions on Vehicular Technology, 2022 - ieeexplore.ieee.org
In this paper, we investigate a method of transmit power control (TPC) for wireless-powered
secure communications with untrusted energy harvesting receivers (EH-Rxs), which are …

Machine Learning for Relaying Topology: Optimization of IoT Networks With Energy Harvesting

K Chung, JT Lim - IEEE Access, 2023 - ieeexplore.ieee.org
In this paper, we examine Internet of Things (IoT) systems related to smart cities, smart
factories, connected cars, etc. To support such systems in a wide area with low power …

Deep learning-based transceiver design for multi-user MIMO systems

T Zhang, J Yu, A Dong, J Qiu - Internet of Things, 2022 - Elsevier
Multi-user multiple-input multiple-output (MIMO) is a key technique to increase both the
channel capacity and the number of users that can be served simultaneously. One of the …

Energy-Efficient Secure Communications for Wireless-Powered Cognitive Radio Networks

K Lee - Sensors, 2021 - mdpi.com
In this study, we investigate energy-efficient secure communications for wireless-powered
cognitive ratio networks, in which multiple secondary users (SUs) share the same frequency …

잠재적도청자로부터물리계층보안성능향상을위한

시간, 전환, 보안, 릴레이 - dbpia.co.kr
본 논문에서는 에너지 하베스팅만 허용된 비신뢰적 노드가 존재할 때, 해당 노드의 최소 에너지
하베스팅 요구량을 보장해주면서 동시에 잠재적 도청을 막기 위한 보안 전송률 최대화 문제를 …