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Artificial Intelligence for Communications and Networks. Third EAI International Conference, AICON 2021, Xining, China, October 23–24, 2021, Proceedings, Part I

Research Article

Secure Communications for Dual-UAV-MEC Networks

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  • @INPROCEEDINGS{10.1007/978-3-030-90196-7_26,
        author={Weidang Lu and Yu Ding and Yiming Du and Yuan Gao and Su Hu and Shaochi Cheng and Yang Guo},
        title={Secure Communications for Dual-UAV-MEC Networks},
        proceedings={Artificial Intelligence for Communications and Networks. Third EAI International Conference, AICON 2021, Xining, China, October 23--24, 2021, Proceedings, Part I},
        proceedings_a={AICON},
        year={2021},
        month={11},
        keywords={UAV Secure communication MEC Secure calculation capacity TDMA},
        doi={10.1007/978-3-030-90196-7_26}
    }
    
  • Weidang Lu
    Yu Ding
    Yiming Du
    Yuan Gao
    Su Hu
    Shaochi Cheng
    Yang Guo
    Year: 2021
    Secure Communications for Dual-UAV-MEC Networks
    AICON
    Springer
    DOI: 10.1007/978-3-030-90196-7_26
Weidang Lu1,*, Yu Ding1, Yiming Du2, Yuan Gao3, Su Hu4, Shaochi Cheng3, Yang Guo3
  • 1: Zhejiang University of Technology
  • 2: University of Nottingham Ningbo China
  • 3: Academy of Military Science of PLA
  • 4: University of Electronic Science and Technology of China
*Contact email: luweid@zjut.edu.cn

Abstract

With the on-demand deployment and high flexibility of the unmanned aerial vehicle (UAV), carrying mobile edge computing (MEC) systems can efficiently relieve the pressure of the explosive growth of data traffic. UAVs adopt line-of sight (LOS) transmission with broadcast characteristics, the information they transmit to ground users (GUs) are easy to be eavesdrop by malicious eavesdroppers. Therefore, secure communication is worth studying in UAV-MEC networks. In this paper, we propose a Dual-UAV-MEC system where GUs offload part of the tasks to UAV server carrying MEC for calculation in the presence of the eavesdropping of offloading information by UAV Eavesdropper, Jammer on the ground sends interference signals to reduce eavesdropping. We propose a secure communication scheme with time division multiple access (TDMA) to maximum the GUs minimum secure calculation capacity. Specifically, we optimize the UAV Servers trajectory and allocate wireless resources which include time allocation factor and local calculation. Numerical results show that the method we proposed efficiently increases the secure calculation capacity of the system.

Keywords
UAV Secure communication MEC Secure calculation capacity TDMA
Published
2021-11-03
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-030-90196-7_26
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