PrOLoc: Resilient Localization with Private Observers Using Partial Homomorphic Encryption
| Title | PrOLoc: Resilient Localization with Private Observers Using Partial Homomorphic Encryption |
| Publication Type | Conference Paper |
| Year of Publication | 2017 |
| Authors | Alanwar, A., Shoukry, Y., Chakraborty, S., Martin, P., Tabuada, P., Srivastava, M. |
| Conference Name | 2017 16th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN) |
| ISBN Number | 978-1-4503-4890-4 |
| Keywords | Acoustic measurements, automobiles, cryptography, Encryption, homomorphic encryption, human factors, localization system, Metrics, Observers, paillier cryptosystem, partial homomorphic encryption, privacy, private observers, PrOLoc, pubcrawl, Resiliency, Scalability, Secure localization, Security Risk Estimation, Servers, target location |
| Abstract | This article presents PrOLoc, a localization system that combines partially homomorphic encryption with a new way of structuring the localization problem to enable emcient and accurate computation of a target's location while preserving the privacy of the observers. |
| URL | http://ieeexplore.ieee.org/document/7944778/ |
| Citation Key | alanwar_proloc:_2017 |
- partial homomorphic encryption
- target location
- Servers
- Security Risk Estimation
- Secure localization
- Scalability
- Resiliency
- pubcrawl
- PrOLoc
- private observers
- privacy
- Acoustic measurements
- paillier cryptosystem
- Observers
- Metrics
- localization system
- Human Factors
- Homomorphic encryption
- encryption
- Cryptography
- automobiles