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Computer Communications

Artificial noise aided scheme to secure UAV-assisted Internet of Things with wireless power transfer

Qubeijian Wang, Hong‐Ning Dai, Xuran Li, Mahendra Kumar Shukla, Muhammad Ali Imran

Published Oct 1, 2020• 19 citations
Publisher
DOI
10.1016/j.comcom.2020.09.017

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In recent years, unmanned aerial vehicle (UAV) has swept across the communication industry for its superior mobility and flexibility. UAV-aided communicaiton has been widely concerned by the academia and industry in space-air-ground integrated network, disaster relief network, Internet of Thing (IoT) system and so on. With the development of UAV-aided communication technology, the performance of transmission has been significantly improved. Subsequently, the problem of security transmission of UAV-aided communication has become increasingly prominent. In this paper, the security capacity of a UAV-aided IoT system is studied. Firstly, a channel field multiple access (CFMA) wireless sensor data transmission framework is proposed in UAV-aided IoT system. It contains a UAV base station, multiple IoT terminals and several malicious users. Under this framework, the UAV base station regularly flies over the area where the IoT system is located. The IoT terminals transmit sensing data based on the CFMA scheme. At the same time, surrounding malicious users cooperatively eavesdrop the sensing data of IoT terminal. Secondly, the system security capacity is analyzed and given under proposed framework. Through analysis, it can be concluded that the CFMA framework inherently possesses anti-eavesdropping capabilities, and the security capacity differences among different users are not significant. This is highly compatible with the requirements of the UAV-IoT system. Finally, the simulation results prove that the CFMA framework can meet the sensing data security transmission in the UAV-aided IoT system.
Wireless systems are of paramount importance in enabling ubiquitous data transmission for various Internet of Things (IoT) applications. However, due to the broadcast nature and openness of wireless channels, such systems face inherent security challenges. Covert communication is an enabling technology for secure wireless communications while the Unmanned Aerial Vehicle (UAV)-assisted covert communication is particularly promising for enhancing covert performance. This paper investigates joint covert and secure communications in a two-hop UAV-assisted wireless system, where a source S transmits a covert message to a destination D with the help of an untrusted UAV, while being subject to detection by a warden W. We first design a covert transmission scheme for the proposed system with the considerations of both covert and secure constraints. We then develop theoretical models for the warden1detection error probability and the covert-and-secure rate (CSR) from S to D. Based on these models, we further explore the optimal power control for CSR maximization under both covertness and security constraints. Finally, numerical results are presented to validate the theoretical models and demonstrate the performance of covert and secure communications in the UAV-assisted system.
In this article, we propose a lightweight security scheme for ensuring both information confidentiality and transmission resiliency in the Internet-of-Things (IoT) communication. A single-antenna transmitter communicates with a half-duplex single-antenna receiver in the presence of a sophisticated multiple-antenna-aided passive eavesdropper and a multiple-antenna-assisted hostile jammer (HJ). A low-complexity artificial noise (AN) injection scheme is proposed for drowning out the eavesdropper. Furthermore, for enhancing the resilience against HJ attacks, the legitimate nodes exploit their own local observations of the wireless channel as the source of randomness to agree on shared secret keys. The secret key is utilized for the frequency hopping (FH) sequence of the proposed communication system. We then proceed to derive a new closed-form expression for the achievable secret key rate (SKR) and the ergodic secrecy rate (ESR) for characterizing the secrecy benefits of our proposed scheme, in terms of both information secrecy and transmission resiliency. Moreover, the optimal power sharing between the AN and the message signal is investigated with the objective of enhancing the secrecy rate. Finally, through extensive simulations, we demonstrate that our proposed system model outperforms the state-of-the-art transmission schemes in terms of secrecy and resiliency. Several numerical examples and discussions are also provided to offer further engineering insights.