Title
Lightweight private proximity testing for geospatial social networks.
Abstract
•Our paper introduces a novel lightweight protocol for private proximity testing.•The proposed protocol clearly outperforms current state of the art.•We formally prove that the protocol is secure in the semi-honest model.•We present experimental results in Python and C++ and compare it with its peers.•We demonstrate an Android application that uses are protocol and proves its efficacy.
Year
DOI
Venue
2016
10.1016/j.comcom.2015.07.017
Computer Communications
Keywords
Field
DocType
Location privacy,Online social networks,Private equality testing,Geosocial networks
Geospatial analysis,Android (operating system),Lightweight protocol,Computer science,Cryptography,Computer network,Exploit,Mobile device,Location awareness,Python (programming language)
Journal
Volume
Issue
ISSN
73
PB
0140-3664
Citations 
PageRank 
References 
8
0.47
37
Authors
4
Name
Order
Citations
PageRank
panayiotis kotzanikolaou136328.70
Constantinos Patsakis232541.68
Emmanouil Magkos321724.01
Michalis Korakakis4212.08