TY - GEN
T1 - Sweet
T2 - 2020 IEEE Conference on Communications and Network Security, CNS 2020
AU - Wang, Yuntao
AU - Su, Zhou
AU - Zhang, Ning
AU - Benslimane, Abderrahim
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/6
Y1 - 2020/6
N2 - Wireless power transfer (WPT) has offered a revolutionized solution to overcome the driving range anxieties for electric vehicles (EVs) on remote highways by wirelessly delivering energy to EVs while driving. By deploying energy nodes with WPT facilities, vehicular energy networks (VENs) have been constructed upon highways to facilitate EVs' charging and discharging operations. However, owing to the security and privacy vulnerabilities arising from the untrusted environment, it becomes very challenging to securely and optimally schedule the charging and discharging behaviors of EVs in VENs in a cooperative manner. In this paper, we propose Sweet, a secure wireless energy transfer scheme for EVs in VENs. Firstly, we present a collaborative framework of EV charging and discharging management in VENs through cooperative wireless energy transfer. Secondly, based on local differential privacy mechanism, a personalized privacy-preserving reputation model is developed to deliver secure WPT services in VENs while offering rigorous privacy guarantees for EV users. Furthermore, based on joint matching-auction game, a distributed energy scheduling mechanism is devised to derive the optimal strategies of cooperative EVs and energy nodes. Finally, simulation results validate the effectiveness of the proposed scheme in terms of improved user utility and privacy protection, compared with existing approaches.
AB - Wireless power transfer (WPT) has offered a revolutionized solution to overcome the driving range anxieties for electric vehicles (EVs) on remote highways by wirelessly delivering energy to EVs while driving. By deploying energy nodes with WPT facilities, vehicular energy networks (VENs) have been constructed upon highways to facilitate EVs' charging and discharging operations. However, owing to the security and privacy vulnerabilities arising from the untrusted environment, it becomes very challenging to securely and optimally schedule the charging and discharging behaviors of EVs in VENs in a cooperative manner. In this paper, we propose Sweet, a secure wireless energy transfer scheme for EVs in VENs. Firstly, we present a collaborative framework of EV charging and discharging management in VENs through cooperative wireless energy transfer. Secondly, based on local differential privacy mechanism, a personalized privacy-preserving reputation model is developed to deliver secure WPT services in VENs while offering rigorous privacy guarantees for EV users. Furthermore, based on joint matching-auction game, a distributed energy scheduling mechanism is devised to derive the optimal strategies of cooperative EVs and energy nodes. Finally, simulation results validate the effectiveness of the proposed scheme in terms of improved user utility and privacy protection, compared with existing approaches.
KW - Wireless power transfer (WPT)
KW - cooperative
KW - electric vehicle (EV)
KW - local differential privacy
KW - secure
UR - https://www.scopus.com/pages/publications/85090159770
U2 - 10.1109/CNS48642.2020.9162306
DO - 10.1109/CNS48642.2020.9162306
M3 - 会议稿件
AN - SCOPUS:85090159770
T3 - 2020 IEEE Conference on Communications and Network Security, CNS 2020
BT - 2020 IEEE Conference on Communications and Network Security, CNS 2020
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 29 June 2020 through 1 July 2020
ER -