Privacy-Aware data offloading for mobile devices in edge computing

Xiaolong Xu; Bowei Tang; Gaoxing Jiang; Xihua Liu; Yuan Xue; Yuan Yuan

doi:10.1109/iThings/GreenCom/CPSCom/SmartData.2019.00049

Privacy-Aware data offloading for mobile devices in edge computing

Xiaolong Xu
, Bowei Tang
, Gaoxing Jiang
, Xihua Liu
, Yuan Xue
, Yuan Yuan

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

18 Scopus citations

Abstract

To fulfill peoples requirements for low latency and strong computing power in mobile devices, edge computing emerges as a paradigm for realizing service provisioning in the edge of mobile cloud near the activity area of the mobile subscribers. Despite numerous advantages of edge computing, there is still a risk of leaking private user data, including identity information, address, etc., during the process of data offloading from mobile devices to edge nodes, which threatens personal and property security potentially. Therefore, it is of great importance of prohibiting privacy leakage for data offloading in edge computing. In repose to this requirement, a privacy-Aware data offloading method (PDO) in edge computing is proposed in this paper. Technically, the privacy of the data offloading in edge computing is analyzed in a formalized way. Then, an improved of strength pareto evolutionary algorithm (SPEA2) is employed to realize joint optimization of the average time of transmission and the privacy entropy. Finally, experimental evaluations are conducted to verify reliability and efficiency of PDO.

Original language	English
Title of host publication	Proceedings - 2019 IEEE International Congress on Cybermatics
Subtitle of host publication	12th IEEE International Conference on Internet of Things, 15th IEEE International Conference on Green Computing and Communications, 12th IEEE International Conference on Cyber, Physical and Social Computing and 5th IEEE International Conference on Smart Data, iThings/GreenCom/CPSCom/SmartData 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	170-175
Number of pages	6
ISBN (Electronic)	9781728129808
DOIs	https://doi.org/10.1109/iThings/GreenCom/CPSCom/SmartData.2019.00049
State	Published - Jul 2019
Externally published	Yes
Event	12th IEEE International Conference on Internet of Things, 15th IEEE International Conference on Green Computing and Communications, 12th IEEE International Conference on Cyber, Physical and Social Computing and 5th IEEE International Conference on Smart Data, iThings/GreenCom/CPSCom/SmartData 2019 - Atlanta, United States Duration: 14 Jul 2019 → 17 Jul 2019

Publication series

Name	Proceedings - 2019 IEEE International Congress on Cybermatics: 12th IEEE International Conference on Internet of Things, 15th IEEE International Conference on Green Computing and Communications, 12th IEEE International Conference on Cyber, Physical and Social Computing and 5th IEEE International Conference on Smart Data, iThings/GreenCom/CPSCom/SmartData 2019

Conference

Conference	12th IEEE International Conference on Internet of Things, 15th IEEE International Conference on Green Computing and Communications, 12th IEEE International Conference on Cyber, Physical and Social Computing and 5th IEEE International Conference on Smart Data, iThings/GreenCom/CPSCom/SmartData 2019
Country/Territory	United States
City	Atlanta
Period	14/07/19 → 17/07/19

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

data offloading
edge computing
privacy entropy
privacy preservation
transmission time

Access to Document

10.1109/iThings/GreenCom/CPSCom/SmartData.2019.00049

Cite this

Xu, X., Tang, B., Jiang, G., Liu, X., Xue, Y., & Yuan, Y. (2019). Privacy-Aware data offloading for mobile devices in edge computing. In Proceedings - 2019 IEEE International Congress on Cybermatics: 12th IEEE International Conference on Internet of Things, 15th IEEE International Conference on Green Computing and Communications, 12th IEEE International Conference on Cyber, Physical and Social Computing and 5th IEEE International Conference on Smart Data, iThings/GreenCom/CPSCom/SmartData 2019 (pp. 170-175). Article 8875376 (Proceedings - 2019 IEEE International Congress on Cybermatics: 12th IEEE International Conference on Internet of Things, 15th IEEE International Conference on Green Computing and Communications, 12th IEEE International Conference on Cyber, Physical and Social Computing and 5th IEEE International Conference on Smart Data, iThings/GreenCom/CPSCom/SmartData 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/iThings/GreenCom/CPSCom/SmartData.2019.00049

Xu, Xiaolong ; Tang, Bowei ; Jiang, Gaoxing et al. / Privacy-Aware data offloading for mobile devices in edge computing. Proceedings - 2019 IEEE International Congress on Cybermatics: 12th IEEE International Conference on Internet of Things, 15th IEEE International Conference on Green Computing and Communications, 12th IEEE International Conference on Cyber, Physical and Social Computing and 5th IEEE International Conference on Smart Data, iThings/GreenCom/CPSCom/SmartData 2019. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 170-175 (Proceedings - 2019 IEEE International Congress on Cybermatics: 12th IEEE International Conference on Internet of Things, 15th IEEE International Conference on Green Computing and Communications, 12th IEEE International Conference on Cyber, Physical and Social Computing and 5th IEEE International Conference on Smart Data, iThings/GreenCom/CPSCom/SmartData 2019).

@inproceedings{0f3efef156854ad9a6065ef1acfd7866,

title = "Privacy-Aware data offloading for mobile devices in edge computing",

abstract = "To fulfill peoples requirements for low latency and strong computing power in mobile devices, edge computing emerges as a paradigm for realizing service provisioning in the edge of mobile cloud near the activity area of the mobile subscribers. Despite numerous advantages of edge computing, there is still a risk of leaking private user data, including identity information, address, etc., during the process of data offloading from mobile devices to edge nodes, which threatens personal and property security potentially. Therefore, it is of great importance of prohibiting privacy leakage for data offloading in edge computing. In repose to this requirement, a privacy-Aware data offloading method (PDO) in edge computing is proposed in this paper. Technically, the privacy of the data offloading in edge computing is analyzed in a formalized way. Then, an improved of strength pareto evolutionary algorithm (SPEA2) is employed to realize joint optimization of the average time of transmission and the privacy entropy. Finally, experimental evaluations are conducted to verify reliability and efficiency of PDO.",

keywords = "data offloading, edge computing, privacy entropy, privacy preservation, transmission time",

author = "Xiaolong Xu and Bowei Tang and Gaoxing Jiang and Xihua Liu and Yuan Xue and Yuan Yuan",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 12th IEEE International Conference on Internet of Things, 15th IEEE International Conference on Green Computing and Communications, 12th IEEE International Conference on Cyber, Physical and Social Computing and 5th IEEE International Conference on Smart Data, iThings/GreenCom/CPSCom/SmartData 2019 ; Conference date: 14-07-2019 Through 17-07-2019",

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Xu, X, Tang, B, Jiang, G, Liu, X, Xue, Y & Yuan, Y 2019, Privacy-Aware data offloading for mobile devices in edge computing. in Proceedings - 2019 IEEE International Congress on Cybermatics: 12th IEEE International Conference on Internet of Things, 15th IEEE International Conference on Green Computing and Communications, 12th IEEE International Conference on Cyber, Physical and Social Computing and 5th IEEE International Conference on Smart Data, iThings/GreenCom/CPSCom/SmartData 2019., 8875376, Proceedings - 2019 IEEE International Congress on Cybermatics: 12th IEEE International Conference on Internet of Things, 15th IEEE International Conference on Green Computing and Communications, 12th IEEE International Conference on Cyber, Physical and Social Computing and 5th IEEE International Conference on Smart Data, iThings/GreenCom/CPSCom/SmartData 2019, Institute of Electrical and Electronics Engineers Inc., pp. 170-175, 12th IEEE International Conference on Internet of Things, 15th IEEE International Conference on Green Computing and Communications, 12th IEEE International Conference on Cyber, Physical and Social Computing and 5th IEEE International Conference on Smart Data, iThings/GreenCom/CPSCom/SmartData 2019, Atlanta, United States, 14/07/19. https://doi.org/10.1109/iThings/GreenCom/CPSCom/SmartData.2019.00049

Privacy-Aware data offloading for mobile devices in edge computing. / Xu, Xiaolong; Tang, Bowei; Jiang, Gaoxing et al.
Proceedings - 2019 IEEE International Congress on Cybermatics: 12th IEEE International Conference on Internet of Things, 15th IEEE International Conference on Green Computing and Communications, 12th IEEE International Conference on Cyber, Physical and Social Computing and 5th IEEE International Conference on Smart Data, iThings/GreenCom/CPSCom/SmartData 2019. Institute of Electrical and Electronics Engineers Inc., 2019. p. 170-175 8875376 (Proceedings - 2019 IEEE International Congress on Cybermatics: 12th IEEE International Conference on Internet of Things, 15th IEEE International Conference on Green Computing and Communications, 12th IEEE International Conference on Cyber, Physical and Social Computing and 5th IEEE International Conference on Smart Data, iThings/GreenCom/CPSCom/SmartData 2019).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Privacy-Aware data offloading for mobile devices in edge computing

AU - Xu, Xiaolong

AU - Tang, Bowei

AU - Jiang, Gaoxing

AU - Liu, Xihua

AU - Xue, Yuan

AU - Yuan, Yuan

PY - 2019/7

Y1 - 2019/7

N2 - To fulfill peoples requirements for low latency and strong computing power in mobile devices, edge computing emerges as a paradigm for realizing service provisioning in the edge of mobile cloud near the activity area of the mobile subscribers. Despite numerous advantages of edge computing, there is still a risk of leaking private user data, including identity information, address, etc., during the process of data offloading from mobile devices to edge nodes, which threatens personal and property security potentially. Therefore, it is of great importance of prohibiting privacy leakage for data offloading in edge computing. In repose to this requirement, a privacy-Aware data offloading method (PDO) in edge computing is proposed in this paper. Technically, the privacy of the data offloading in edge computing is analyzed in a formalized way. Then, an improved of strength pareto evolutionary algorithm (SPEA2) is employed to realize joint optimization of the average time of transmission and the privacy entropy. Finally, experimental evaluations are conducted to verify reliability and efficiency of PDO.

AB - To fulfill peoples requirements for low latency and strong computing power in mobile devices, edge computing emerges as a paradigm for realizing service provisioning in the edge of mobile cloud near the activity area of the mobile subscribers. Despite numerous advantages of edge computing, there is still a risk of leaking private user data, including identity information, address, etc., during the process of data offloading from mobile devices to edge nodes, which threatens personal and property security potentially. Therefore, it is of great importance of prohibiting privacy leakage for data offloading in edge computing. In repose to this requirement, a privacy-Aware data offloading method (PDO) in edge computing is proposed in this paper. Technically, the privacy of the data offloading in edge computing is analyzed in a formalized way. Then, an improved of strength pareto evolutionary algorithm (SPEA2) is employed to realize joint optimization of the average time of transmission and the privacy entropy. Finally, experimental evaluations are conducted to verify reliability and efficiency of PDO.

KW - data offloading

KW - edge computing

KW - privacy entropy

KW - privacy preservation

KW - transmission time

UR - https://www.scopus.com/pages/publications/85074861505

U2 - 10.1109/iThings/GreenCom/CPSCom/SmartData.2019.00049

DO - 10.1109/iThings/GreenCom/CPSCom/SmartData.2019.00049

M3 - 会议稿件

AN - SCOPUS:85074861505

T3 - Proceedings - 2019 IEEE International Congress on Cybermatics: 12th IEEE International Conference on Internet of Things, 15th IEEE International Conference on Green Computing and Communications, 12th IEEE International Conference on Cyber, Physical and Social Computing and 5th IEEE International Conference on Smart Data, iThings/GreenCom/CPSCom/SmartData 2019

SP - 170

EP - 175

BT - Proceedings - 2019 IEEE International Congress on Cybermatics

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 12th IEEE International Conference on Internet of Things, 15th IEEE International Conference on Green Computing and Communications, 12th IEEE International Conference on Cyber, Physical and Social Computing and 5th IEEE International Conference on Smart Data, iThings/GreenCom/CPSCom/SmartData 2019

Y2 - 14 July 2019 through 17 July 2019

ER -

Xu X, Tang B, Jiang G, Liu X, Xue Y, Yuan Y. Privacy-Aware data offloading for mobile devices in edge computing. In Proceedings - 2019 IEEE International Congress on Cybermatics: 12th IEEE International Conference on Internet of Things, 15th IEEE International Conference on Green Computing and Communications, 12th IEEE International Conference on Cyber, Physical and Social Computing and 5th IEEE International Conference on Smart Data, iThings/GreenCom/CPSCom/SmartData 2019. Institute of Electrical and Electronics Engineers Inc. 2019. p. 170-175. 8875376. (Proceedings - 2019 IEEE International Congress on Cybermatics: 12th IEEE International Conference on Internet of Things, 15th IEEE International Conference on Green Computing and Communications, 12th IEEE International Conference on Cyber, Physical and Social Computing and 5th IEEE International Conference on Smart Data, iThings/GreenCom/CPSCom/SmartData 2019). doi: 10.1109/iThings/GreenCom/CPSCom/SmartData.2019.00049

Privacy-Aware data offloading for mobile devices in edge computing

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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