Optimal secret sharing for secure wireless communications in the era of internet of things

2017 ◽  
Author(s):  
Lei Miao ◽  
Dingde Jiang
Keyword(s):  
Wireless Communications ◽  
Internet Of Things ◽  
Secret Sharing

Secret Sharing Simultaneously in Internet of Things

2020 ◽  
Author(s):  
Jie Tang ◽  
Huanhuan Song ◽  
Aidong Xu ◽  
Yixing Jiang ◽  
Hong Wen ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Secret Sharing

scholarly journals Internet of Things (IoT) in 5G Wireless Communications

IEEE Access ◽  
2016 ◽  
Vol 4 ◽  
pp. 10310-10314 ◽  
Author(s):  
Waleed Ejaz ◽  
Alagan Anpalagan ◽  
Muhammad Ali Imran ◽  
Minho Jo ◽  
Muhammad Naeem ◽  
...  
Keyword(s):  
Wireless Communications ◽  
Internet Of Things

A Handbag Zipper Antenna for the Applications of Body-Centric Wireless Communications and Internet of Things

2017 ◽  
Vol 65 (10) ◽  
pp. 5137-5146 ◽  
Author(s):  
Gaosheng Li ◽  
Yi Huang ◽  
Gui Gao ◽  
Xianju Wei ◽  
Zhihao Tian ◽  
...  
Keyword(s):  
Wireless Communications ◽  
Internet Of Things

scholarly journals Aerial Intelligent Reflecting Surface Enabled Terahertz Covert Communications in Beyond-5G Internet of Things

2021 ◽  
Author(s):  
Milad Tatar Mamaghani ◽  
Yi Hong
Keyword(s):  
Wireless Communications ◽  
Internet Of Things ◽  
Optimization Problem ◽  
Data Dissemination ◽  
Performance Enhancement ◽  
Average Energy ◽  
Access Point ◽  
Artificial Noise ◽  
User Scheduling ◽  
Reflecting Surface

<div>Unmanned aerial vehicles (UAVs) are envisioned to be extensively employed for assisting wireless communications in Internet of Things (IoT). </div><div>On the other hand, terahertz (THz) enabled intelligent reflecting surface (IRS) is expected to be one of the core enabling technologies for forthcoming beyond-5G wireless communications that promise a broad range of data-demand applications. In this paper, we propose a UAV-mounted IRS (UIRS) communication system over THz bands for confidential data dissemination from an access point (AP) towards multiple ground user equipments (UEs) in IoT networks. Specifically, the AP intends to send data to the scheduled UE, while unscheduled UEs may behave as potential adversaries. To protect information messages and the privacy of the scheduled UE, we aim to devise an energy-efficient multi-UAV covert communication scheme, where the UIRS is for reliable data transmissions, and an extra UAV is utilized as a cooperative jammer generating artificial noise (AN) to degrade unscheduled UEs detection, improving communication covertness.</div><div>This poses a novel max-min optimization problem in terms of minimum average energy efficiency (mAEE), targetting to improve covert throughput and reduce UAVs' propulsion energy consumption subject to some practical constraints such as covertness which is determined analytically. Since the optimization problem is non-convex, we tackle it via the block successive convex approximation (BSCA) approach to iteratively solve a sequence of approximated convex sub-problems, designing the binary user scheduling, AP's power allocation, maximum AN jamming power, IRS beamforming, and both UAVs' trajectory and velocity planning. Finally, we present a low-complex overall algorithm for system performance enhancement with complexity and convergence analysis. Numerical results are provided to verify our analysis and demonstrate significant outperformance of our design over other existing benchmark schemes.</div>

scholarly journals Reinforcement-Learning-Enabled Massive Internet of Things for 6G Wireless Communications

2021 ◽  
Vol 5 (2) ◽  
pp. 126-131
Author(s):  
Rashid Ali ◽  
Imran Ashraf ◽  
Ali Kashif Bashir ◽  
Yousaf Bin Zikria
Keyword(s):  
Reinforcement Learning ◽  
Wireless Communications ◽  
Internet Of Things
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