Demo Abstract: PrOLoc: Resilient Localization with Private Observers Using Partial Homomorphic Encryption

2017 16th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN) Pub Date : 2017-04-18 DOI:10.1145/3055031.3055033

Amr Alanwar, Yasser Shoukry, Supriyo Chakraborty, Bharathan Balaji, Paul D. Martin, P. Tabuada, Mani Srivastava

引用次数: 3

Abstract

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

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摘要:PrOLoc:使用部分同态加密的私有观察者弹性定位

PrOLoc是一个定位系统，它结合了部分同态加密和一种新的结构化定位问题的方法，可以在保护观察者隐私的同时高效准确地计算目标的位置。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

2017 16th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)

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