@inproceedings{1cba6479bb7a4b02814206f706d8b404,
title = "Demo abstract: PrOLoc: Resilient localization with private observers using partial homomorphic encryption",
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.",
keywords = "Homomorphic encryption, Paillier cryptosystem, Privacy, Secure localization",
author = "Amr Alanwar and Yasser Shoukry and Supriyo Chakraborty and Bharathan Balaji and Paul Martin and Paulo Tabuada and Mani Srivastava",
note = "Publisher Copyright: {\textcopyright} 2017 ACM.; 16th ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN 2017 ; Conference date: 18-04-2017 Through 20-04-2017",
year = "2017",
month = apr,
day = "18",
doi = "10.1145/3055031.3055033",
language = "English",
series = "Proceedings - 2017 16th ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN 2017",
publisher = "Association for Computing Machinery, Inc",
pages = "257--258",
booktitle = "Proceedings - 2017 16th ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN 2017",
}