STDP: Secure Privacy-Preserving Trajectory Data Publishing

Chris Soo Hyun Eom; Wookey Lee; Carson Kai Sang Leung

doi:10.1109/Cybermatics_2018.2018.00170

STDP: Secure Privacy-Preserving Trajectory Data Publishing

Chris Soo Hyun Eom, Wookey Lee, Carson Kai Sang Leung

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

3 Scopus citations

Abstract

As the smart devices and cloud services are rapidly expanding, a large amount of location information can easily be gathered. However, there is a conflict between collecting location information and protecting personal information since obtaining and utilizing the information may be restricted due to privacy concerns. In fact, various methods which use K-Anonymity for original location data have been studied, but these methods have excessively reduced data utility while stressing highly on privacy preservation. In this research, we suggest a novel model to overcome this fundamental dilemma. Compared to the existing approaches, our study shows a new theoretical advancement in privacy protection and outstanding performance in terms of time complexity and data utility.

Original language	English
Title of host publication	Proceedings - IEEE 2018 International Congress on Cybermatics
Subtitle of host publication	2018 IEEE Conferences on Internet of Things, Green Computing and Communications, Cyber, Physical and Social Computing, Smart Data, Blockchain, Computer and Information Technology, iThings/GreenCom/CPSCom/SmartData/Blockchain/CIT 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	892-899
Number of pages	8
ISBN (Electronic)	9781538679753
DOIs	https://doi.org/10.1109/Cybermatics_2018.2018.00170
State	Published - Jul 2018
Event	11th IEEE International Congress on Conferences on Internet of Things, 14th IEEE International Conference on Green Computing and Communications, 11th IEEE International Conference on Cyber, Physical and Social Computing, 4th IEEE International Conference on Smart Data, 1st IEEE International Conference on Blockchain and 18th IEEE International Conference on Computer and Information Technology, iThings/GreenCom/CPSCom/SmartData/Blockchain/CIT 2018 - Halifax, Canada Duration: 30 Jul 2018 → 3 Aug 2018

Publication series

Name	Proceedings - IEEE 2018 International Congress on Cybermatics: 2018 IEEE Conferences on Internet of Things, Green Computing and Communications, Cyber, Physical and Social Computing, Smart Data, Blockchain, Computer and Information Technology, iThings/GreenCom/CPSCom/SmartData/Blockchain/CIT 2018

Conference

Conference	11th IEEE International Congress on Conferences on Internet of Things, 14th IEEE International Conference on Green Computing and Communications, 11th IEEE International Conference on Cyber, Physical and Social Computing, 4th IEEE International Conference on Smart Data, 1st IEEE International Conference on Blockchain and 18th IEEE International Conference on Computer and Information Technology, iThings/GreenCom/CPSCom/SmartData/Blockchain/CIT 2018
Country/Territory	Canada
City	Halifax
Period	30/07/18 → 3/08/18

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

Keywords

Fast Fourier Transform (FFT)
KL-privacy
privacy preserving
privacy-preserving data publishing
secure data publishing
trajectory

Access to Document

10.1109/Cybermatics_2018.2018.00170

Cite this

Eom, C. S. H., Lee, W., & Leung, C. K. S. (2018). STDP: Secure Privacy-Preserving Trajectory Data Publishing. In Proceedings - IEEE 2018 International Congress on Cybermatics: 2018 IEEE Conferences on Internet of Things, Green Computing and Communications, Cyber, Physical and Social Computing, Smart Data, Blockchain, Computer and Information Technology, iThings/GreenCom/CPSCom/SmartData/Blockchain/CIT 2018 (pp. 892-899). Article 8726581 (Proceedings - IEEE 2018 International Congress on Cybermatics: 2018 IEEE Conferences on Internet of Things, Green Computing and Communications, Cyber, Physical and Social Computing, Smart Data, Blockchain, Computer and Information Technology, iThings/GreenCom/CPSCom/SmartData/Blockchain/CIT 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/Cybermatics_2018.2018.00170

Eom, Chris Soo Hyun ; Lee, Wookey ; Leung, Carson Kai Sang. / STDP : Secure Privacy-Preserving Trajectory Data Publishing. Proceedings - IEEE 2018 International Congress on Cybermatics: 2018 IEEE Conferences on Internet of Things, Green Computing and Communications, Cyber, Physical and Social Computing, Smart Data, Blockchain, Computer and Information Technology, iThings/GreenCom/CPSCom/SmartData/Blockchain/CIT 2018. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 892-899 (Proceedings - IEEE 2018 International Congress on Cybermatics: 2018 IEEE Conferences on Internet of Things, Green Computing and Communications, Cyber, Physical and Social Computing, Smart Data, Blockchain, Computer and Information Technology, iThings/GreenCom/CPSCom/SmartData/Blockchain/CIT 2018).

@inproceedings{cff3edb27a754964afb1760543d4f455,

title = "STDP: Secure Privacy-Preserving Trajectory Data Publishing",

abstract = "As the smart devices and cloud services are rapidly expanding, a large amount of location information can easily be gathered. However, there is a conflict between collecting location information and protecting personal information since obtaining and utilizing the information may be restricted due to privacy concerns. In fact, various methods which use K-Anonymity for original location data have been studied, but these methods have excessively reduced data utility while stressing highly on privacy preservation. In this research, we suggest a novel model to overcome this fundamental dilemma. Compared to the existing approaches, our study shows a new theoretical advancement in privacy protection and outstanding performance in terms of time complexity and data utility.",

keywords = "Fast Fourier Transform (FFT), KL-privacy, privacy preserving, privacy-preserving data publishing, secure data publishing, trajectory",

author = "Eom, {Chris Soo Hyun} and Wookey Lee and Leung, {Carson Kai Sang}",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 11th IEEE International Congress on Conferences on Internet of Things, 14th IEEE International Conference on Green Computing and Communications, 11th IEEE International Conference on Cyber, Physical and Social Computing, 4th IEEE International Conference on Smart Data, 1st IEEE International Conference on Blockchain and 18th IEEE International Conference on Computer and Information Technology, iThings/GreenCom/CPSCom/SmartData/Blockchain/CIT 2018 ; Conference date: 30-07-2018 Through 03-08-2018",

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Eom, CSH, Lee, W & Leung, CKS 2018, STDP: Secure Privacy-Preserving Trajectory Data Publishing. in Proceedings - IEEE 2018 International Congress on Cybermatics: 2018 IEEE Conferences on Internet of Things, Green Computing and Communications, Cyber, Physical and Social Computing, Smart Data, Blockchain, Computer and Information Technology, iThings/GreenCom/CPSCom/SmartData/Blockchain/CIT 2018., 8726581, Proceedings - IEEE 2018 International Congress on Cybermatics: 2018 IEEE Conferences on Internet of Things, Green Computing and Communications, Cyber, Physical and Social Computing, Smart Data, Blockchain, Computer and Information Technology, iThings/GreenCom/CPSCom/SmartData/Blockchain/CIT 2018, Institute of Electrical and Electronics Engineers Inc., pp. 892-899, 11th IEEE International Congress on Conferences on Internet of Things, 14th IEEE International Conference on Green Computing and Communications, 11th IEEE International Conference on Cyber, Physical and Social Computing, 4th IEEE International Conference on Smart Data, 1st IEEE International Conference on Blockchain and 18th IEEE International Conference on Computer and Information Technology, iThings/GreenCom/CPSCom/SmartData/Blockchain/CIT 2018, Halifax, Canada, 30/07/18. https://doi.org/10.1109/Cybermatics_2018.2018.00170

STDP: Secure Privacy-Preserving Trajectory Data Publishing. / Eom, Chris Soo Hyun; Lee, Wookey; Leung, Carson Kai Sang.
Proceedings - IEEE 2018 International Congress on Cybermatics: 2018 IEEE Conferences on Internet of Things, Green Computing and Communications, Cyber, Physical and Social Computing, Smart Data, Blockchain, Computer and Information Technology, iThings/GreenCom/CPSCom/SmartData/Blockchain/CIT 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 892-899 8726581 (Proceedings - IEEE 2018 International Congress on Cybermatics: 2018 IEEE Conferences on Internet of Things, Green Computing and Communications, Cyber, Physical and Social Computing, Smart Data, Blockchain, Computer and Information Technology, iThings/GreenCom/CPSCom/SmartData/Blockchain/CIT 2018).

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

TY - GEN

T1 - STDP

T2 - 11th IEEE International Congress on Conferences on Internet of Things, 14th IEEE International Conference on Green Computing and Communications, 11th IEEE International Conference on Cyber, Physical and Social Computing, 4th IEEE International Conference on Smart Data, 1st IEEE International Conference on Blockchain and 18th IEEE International Conference on Computer and Information Technology, iThings/GreenCom/CPSCom/SmartData/Blockchain/CIT 2018

AU - Eom, Chris Soo Hyun

AU - Lee, Wookey

AU - Leung, Carson Kai Sang

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AB - As the smart devices and cloud services are rapidly expanding, a large amount of location information can easily be gathered. However, there is a conflict between collecting location information and protecting personal information since obtaining and utilizing the information may be restricted due to privacy concerns. In fact, various methods which use K-Anonymity for original location data have been studied, but these methods have excessively reduced data utility while stressing highly on privacy preservation. In this research, we suggest a novel model to overcome this fundamental dilemma. Compared to the existing approaches, our study shows a new theoretical advancement in privacy protection and outstanding performance in terms of time complexity and data utility.

KW - Fast Fourier Transform (FFT)

KW - KL-privacy

KW - privacy preserving

KW - privacy-preserving data publishing

KW - secure data publishing

KW - trajectory

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U2 - 10.1109/Cybermatics_2018.2018.00170

DO - 10.1109/Cybermatics_2018.2018.00170

M3 - Conference contribution

AN - SCOPUS:85067898017

T3 - Proceedings - IEEE 2018 International Congress on Cybermatics: 2018 IEEE Conferences on Internet of Things, Green Computing and Communications, Cyber, Physical and Social Computing, Smart Data, Blockchain, Computer and Information Technology, iThings/GreenCom/CPSCom/SmartData/Blockchain/CIT 2018

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EP - 899

BT - Proceedings - IEEE 2018 International Congress on Cybermatics

PB - Institute of Electrical and Electronics Engineers Inc.

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Eom CSH, Lee W, Leung CKS. STDP: Secure Privacy-Preserving Trajectory Data Publishing. In Proceedings - IEEE 2018 International Congress on Cybermatics: 2018 IEEE Conferences on Internet of Things, Green Computing and Communications, Cyber, Physical and Social Computing, Smart Data, Blockchain, Computer and Information Technology, iThings/GreenCom/CPSCom/SmartData/Blockchain/CIT 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 892-899. 8726581. (Proceedings - IEEE 2018 International Congress on Cybermatics: 2018 IEEE Conferences on Internet of Things, Green Computing and Communications, Cyber, Physical and Social Computing, Smart Data, Blockchain, Computer and Information Technology, iThings/GreenCom/CPSCom/SmartData/Blockchain/CIT 2018). doi: 10.1109/Cybermatics_2018.2018.00170

STDP: Secure Privacy-Preserving Trajectory Data Publishing

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

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Cite this