Physical Layer Security Assisted Computation Offloading in Intelligently Connected Vehicle Networks

In this paper, we propose a secure computationoffloading scheme (SCOS) in intelligently connected vehicle (ICV) networks, aiming to minimize overall latency of computing via offloading part of computational tasks to nearby servers in small cell base stations (SBSs), while securing the information de...

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Published inIEEE transactions on wireless communications Vol. 20; no. 6; pp. 3555 - 3570
Main Authors Liu, Yiliang, Wang, Wei, Chen, Hsiao-Hwa, Lyu, Feng, Wang, Liangmin, Meng, Weixiao, Shen, Xuemin
Format Journal Article
LanguageEnglish
Published New York IEEE 01.06.2021
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Beamforming
Channels
Computation offloading
Computational modeling
Downlink
Encoding
Ergodic processes
intelligently connected vehicles
Network latency
physical layer security
Servers
Task analysis
time-varying channels
Uplink
Wireless communication
Wiretapping
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Abstract In this paper, we propose a secure computationoffloading scheme (SCOS) in intelligently connected vehicle (ICV) networks, aiming to minimize overall latency of computing via offloading part of computational tasks to nearby servers in small cell base stations (SBSs), while securing the information delivered during offloading and feedback phases via physical layer security. Existing computation offloading schemes usually neglected time-varying characteristics of channels and their corresponding secrecy rates, resulting in an inappropriate task partition ratio and a large secrecy outage probability. To address these issues, we utilize an ergodic secrecy rate to determine how many tasks are offloaded to the edge, where ergodic secrecy rate represents the average secrecy rate over all realizations in a time-varying wireless channel. Adaptive wiretap code rates are proposed with a secrecy outage constraint to match time-varying wireless channels. In addition, the proposed secure beamforming and artificial noise (AN) schemes can improve the ergodic secrecy rates of uplink and downlink channels even without eavesdropper channel state information (CSI). Numerical results demonstrate that the proposed schemes have a shorter system delay than the strategies neglecting time-varying characteristics.
AbstractList In this paper, we propose a secure computationoffloading scheme (SCOS) in intelligently connected vehicle (ICV) networks, aiming to minimize overall latency of computing via offloading part of computational tasks to nearby servers in small cell base stations (SBSs), while securing the information delivered during offloading and feedback phases via physical layer security. Existing computation offloading schemes usually neglected time-varying characteristics of channels and their corresponding secrecy rates, resulting in an inappropriate task partition ratio and a large secrecy outage probability. To address these issues, we utilize an ergodic secrecy rate to determine how many tasks are offloaded to the edge, where ergodic secrecy rate represents the average secrecy rate over all realizations in a time-varying wireless channel. Adaptive wiretap code rates are proposed with a secrecy outage constraint to match time-varying wireless channels. In addition, the proposed secure beamforming and artificial noise (AN) schemes can improve the ergodic secrecy rates of uplink and downlink channels even without eavesdropper channel state information (CSI). Numerical results demonstrate that the proposed schemes have a shorter system delay than the strategies neglecting time-varying characteristics.
Author Wang, Wei
Shen, Xuemin
Lyu, Feng
Meng, Weixiao
Chen, Hsiao-Hwa
Wang, Liangmin
Liu, Yiliang
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  surname: Shen
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  email: sshen@uwaterloo.ca
  organization: Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada
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Snippet In this paper, we propose a secure computationoffloading scheme (SCOS) in intelligently connected vehicle (ICV) networks, aiming to minimize overall latency of...
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SubjectTerms Beamforming
Channels
Computation offloading
Computational modeling
Downlink
Encoding
Ergodic processes
intelligently connected vehicles
Network latency
physical layer security
Servers
Task analysis
time-varying channels
Uplink
Wireless communication
Wiretapping
Title Physical Layer Security Assisted Computation Offloading in Intelligently Connected Vehicle Networks
URI https://ieeexplore.ieee.org/document/9334447
https://www.proquest.com/docview/2539353355
Volume 20
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