Please use this identifier to cite or link to this item:

http://hdl.handle.net/10609/82368
Title: Enabling collaborative privacy in user-generated emergency reports
Author: Qureshi, Amna  
Rifà Pous, Helena  
Megías Jiménez, David  
Others: Universitat Oberta de Catalunya. Internet Interdisciplinary Institute (IN3)
Keywords: co-utility
co-privacy
revocation
emergency management
online social network
Issue Date: 31-Aug-2016
Publisher: Lecture Notes in Computer Science
Citation: Qureshi, A., Rifà Pous, H. & Megías, D. (2016). Enabling collaborative privacy in user-generated emergency reports. Lecture Notes in Computer Science, 9867, 255-271. doi: 10.1007/978-3-319-45381-1_19
Series/Report no.: Lecture Notes in Computer Science, 9867
Also see: https://doi.org/10.1007/978-3-319-45381-1_19
Abstract: Witnesses are of the utmost importance in emergency systems since they can trigger timely location-based status alerts. However, their collaboration with the authorities can get impaired for the fear of the people of being involved with someone, some place, or even with the same cause of the emergency. Anonymous reporting solutions can encourage the witnesses, but they also pose a threat of system collapse if the authority receives many fake reports. In this paper, we propose an emergency reporting system that ensures the anonymity of honest witnesses but is able to disclose the identity and punish the malicious ones. The system is designed over an online social network that facilitates the indistinguishability of the witness among a group of users. We use a game-theoretic approach based on the co-privacy (co-utility) principles to encourage the users of the network to participate in the protocol. We also use discernible ring signatures to provide the property of conditional anonymity. In addition, the system is designed to provide rewards to a witness and his/her group members in a privacy-preserving manner.
Language: English
URI: http://hdl.handle.net/10609/82368
ISBN: 9783319453811
ISSN: 0302-9743MIAR
Appears in Collections:Articles

Share:
Export:
Files in This Item:
File Description SizeFormat 
PSD-PostPrint.pdfpostprint of the paper500.55 kBAdobe PDFView/Open

This item is licensed under a Creative Commons License Creative Commons