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PrOLoc: resilient localization with private observers using partial homomorphic encryption: demo abstract

Authors:

Mani SrivastavaAuthors Info & Claims

IPSN '17: Proceedings of the 16th ACM/IEEE International Conference on Information Processing in Sensor Networks

Pages 257 - 258

https://doi.org/10.1145/3055031.3055033

Published: 18 April 2017 Publication History

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Abstract

This demo abstract presents PrOLoc, a localization system that combines partially homomorphic encryption with a new way of structuring the localization problem to enable efficient and accurate computation of a target's location while preserving the privacy of the observers.

References

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A. Alnwar, Y. Shoukry, S. Chakraborty, P. Martin, P. Tabuada, and M. Srivastava. PrOLoc: Resilient Localization with Private Observers Using Partial Homomorphic Encryption. In Proceedings of the 16th international conference on Information Processing in Sensor Networks. ACM.

Digital Library

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S. U. Hussain and F. Koushanfar. 2016. Privacy preserving localization for smart automotive systems. In 2016 53nd ACM/EDAC/IEEE Design Automation Conference (DAC). 1--6.

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J. Von Neumann. 1950. Functional Operators: The Geometry of Orthogonal Spaces. Princeton University Press.

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Cited By

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Zheng YZhou MWang SHuang HJia XYi XWang C(2024)SecDR: Enabling Secure, Efficient, and Accurate Data Recovery for Mobile CrowdsensingIEEE Transactions on Dependable and Secure Computing10.1109/TDSC.2023.326226821:2(789-803)Online publication date: Mar-2024
https://doi.org/10.1109/TDSC.2023.3262268
Xu XChen HXie L(2021)A Location Privacy Preservation Method Based on Dummy Locations in Internet of VehiclesApplied Sciences10.3390/app1110459411:10(4594)Online publication date: 18-May-2021
https://doi.org/10.3390/app11104594
Azhar SChang SLiu YTao YLiu G(2020)Privacy-preserving and Utility-aware Participant Selection for Mobile Crowd SensingMobile Networks and Applications10.1007/s11036-020-01631-2Online publication date: 4-Aug-2020
https://doi.org/10.1007/s11036-020-01631-2
Show More Cited By

Index Terms

PrOLoc: resilient localization with private observers using partial homomorphic encryption: demo abstract
1. Computer systems organization
  1. Dependable and fault-tolerant systems and networks
    1. Redundancy
  2. Embedded and cyber-physical systems
    1. Embedded systems
    2. Robotics
2. Networks
  1. Network properties
    1. Network reliability

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Information & Contributors

Information

Published In

IPSN '17: Proceedings of the 16th ACM/IEEE International Conference on Information Processing in Sensor Networks

April 2017

333 pages

ISBN:9781450348904

DOI:10.1145/3055031

General Chair:
Pei Zhang
Carnegie Mellon University
,
Program Chairs:
Prabal Dutta
University of California, Berkeley
,
Guoliang Xing
Michigan State University

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 18 April 2017

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Demonstration

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Conference

IPSN '17

Sponsor:

SIGBED

IPSN '17: The 16th International Conference on Information Processing in Sensor Networks

April 18 - 20, 2017

Pennsylvania, Pittsburgh

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Overall Acceptance Rate 143 of 593 submissions, 24%

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Cited By

View all

Zheng YZhou MWang SHuang HJia XYi XWang C(2024)SecDR: Enabling Secure, Efficient, and Accurate Data Recovery for Mobile CrowdsensingIEEE Transactions on Dependable and Secure Computing10.1109/TDSC.2023.326226821:2(789-803)Online publication date: Mar-2024
https://doi.org/10.1109/TDSC.2023.3262268
Xu XChen HXie L(2021)A Location Privacy Preservation Method Based on Dummy Locations in Internet of VehiclesApplied Sciences10.3390/app1110459411:10(4594)Online publication date: 18-May-2021
https://doi.org/10.3390/app11104594
Azhar SChang SLiu YTao YLiu G(2020)Privacy-preserving and Utility-aware Participant Selection for Mobile Crowd SensingMobile Networks and Applications10.1007/s11036-020-01631-2Online publication date: 4-Aug-2020
https://doi.org/10.1007/s11036-020-01631-2
Alanwar AShoukry YChakraborty SBalaji BMartin PTabuada PSrivastava MZhang PDutta PXing G(2017)PrOLoc: resilient localization with private observers using partial homomorphic encryptionProceedings of the 16th ACM/IEEE International Conference on Information Processing in Sensor Networks10.1145/3055031.3055033(257-258)Online publication date: 18-Apr-2017
https://dl.acm.org/doi/10.1145/3055031.3055033

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PrOLoc: resilient localization with private observers using partial homomorphic encryption

An efficient and secure data sharing framework using homomorphic encryption in the cloud

A Pairing-based Homomorphic Encryption Scheme for Multi-User Settings