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Artificial noise aided scheme to secure UAV-assisted internet of things with wireless power transfer

- Wang, Qubeijian, Dai, Hong-Ning, Li, Xuran, Shukla, Mahendra, Imran, Muhammad

  • Authors: Wang, Qubeijian , Dai, Hong-Ning , Li, Xuran , Shukla, Mahendra , Imran, Muhammad
  • Date: 2020
  • Type: Text , Journal article
  • Relation: Computer Communications Vol. 164, no. (2020), p. 1-12
  • Full Text: false
  • Reviewed:
  • Description: The proliferation of massive Internet of Things (IoT) devices poses research challenges especially in unmanned aerial vehicles(UAV)-assisted IoT. In particular, the limited battery capacity not only restricts the life time of UAV-assisted IoT but also brings security vulnerabilities since computation-complex cryptographic algorithms cannot be adopted in UAV-assisted IoT systems. In this paper, artificial noise and wireless power transfer technologies are integrated to secure communications in UAV-assisted IoT (particularly in secret key distribution). We present the artificial noise aided scheme to secure UAV-assisted IoT communications by letting UAV gateway transfer energy to a number of helpers who will generate artificial noise to interfere with the eavesdroppers while the legitimate nodes can decode the information by canceling additive artificial noise. We introduce the eavesdropping probability and the security rate to validate the effectiveness of our proposed scheme. We further formulate an eavesdropping probability constrained security rate maximization problem to investigate the optimal power allocation. Moreover, analytical and numerical results are provided to obtain some useful insights, and to demonstrate the effect of crucial parameters (e.g., the transmit power, the main channel gain) on the eavesdropping probability, the security rate, and the optimal power allocation. © 2020 Elsevier B.V.

Securing internet of medical things with friendly-jamming schemes

- Li, Xuran, Dai, Hong-Ning, Wang, Qubeijian, Imran, Muhammad, Li, Dengwang

  • Authors: Li, Xuran , Dai, Hong-Ning , Wang, Qubeijian , Imran, Muhammad , Li, Dengwang
  • Date: 2020
  • Type: Text , Journal article , Review
  • Relation: Computer Communications Vol. 160, no. (2020), p. 431-442
  • Full Text: false
  • Reviewed:
  • Description: The Internet of Medical Things (IoMT)-enabled e-healthcare can complement traditional medical treatments in a flexible and convenient manner. However, security and privacy become the main concerns of IoMT due to the limited computational capability, memory space and energy constraint of medical sensors, leading to the in-feasibility for conventional cryptographic approaches, which are often computationally-complicated. In contrast to cryptographic approaches, friendly jamming (Fri-jam) schemes will not cause extra computing cost to medical sensors, thereby becoming potential countermeasures to ensure security of IoMT. In this paper, we present a study on using Fri-jam schemes in IoMT. We first analyze the data security in IoMT and discuss the challenges. We then propose using Fri-jam schemes to protect the confidential medical data of patients collected by medical sensors from being eavesdropped. We also discuss the integration of Fri-jam schemes with various communication technologies, including beamforming, Simultaneous Wireless Information and Power Transfer (SWIPT) and full duplexity. Moreover, we present two case studies of Fri-jam schemes in IoMT. The results of these two case studies indicate that the Fri-jam method will significantly decrease the eavesdropping risk while leading to no significant influence on legitimate transmission. © 2020
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