User-private information retrieval based on a peer-to-peer community

Domingo‐Ferrer, Josep; Bras-Amorós, Maria; Wu, Qianhong; Manjón, Jesús A.

doi:10.1016/j.datak.2009.06.004

Cited by 57 publications

(51 citation statements)

References 10 publications

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“…Regarding multi-hop retransmissions, a witness forwards the emergency report through a fixed routing path (nearby online friends) to another online friend (within his/her vicinity), who in turn sends it to the EMS. This scenario, together with co-privacy, is analogous to the problem of user-private information retrieval [7]. If a witness sent his/her emergency report directly to the EMS, the EMS would know the IP address of this user and get his/her location, so his/her privacy would be surrendered.…”

Section: Discussionmentioning

confidence: 99%

Enabling Collaborative Privacy in User-Generated Emergency Reports

Qureshi

Rifà-Pous

Megías

2016

Privacy in Statistical Databases

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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.

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Section: Discussionmentioning

confidence: 99%

Enabling Collaborative Privacy in User-Generated Emergency Reports

Qureshi

Rifà-Pous

Megías

2016

Privacy in Statistical Databases

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“…What [10,11] propose is to diffuse a user's query profile among the peers in a peer-to-peer community. However, onion routing systems can indeed complement our solution and be used for peers to communicate among themselves and hide their identity from each other at the transport level.…”

Section: User-private Information Retrieval (Upir)mentioning

confidence: 99%

“…Like [10,11,15,23] propose to relax strict PIR in order to obtain a practical system. However, rather than altering the user's query with fake queries or cloaking the user's query in a set of queries in a standalone fashion, the user's query history is blurred with the help of a peer-to-peer user community: a user gets her queries submitted on her behalf by other users in the P2P community.…”

Section: User-private Information Retrieval (Upir)mentioning

confidence: 99%

Selected Privacy Research Topics in the ARES Project: An Overview

Manjón

Domingo-Ferrer

2014

Studies in Computational Intelligence

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“…GooPIR, [16], [17], attempts to disguise a user's "true" queries by adding masking keywords directly into a true query before submitting to a recommender system. Results are then filtered to extract items that are relevant to the user's original true query.…”

Section: Related Workmentioning

confidence: 99%

Plausible Deniability in Web Search—From Detection to Assessment

Aonghusa

Leith

2018

IEEE Trans.Inform.Forensic Secur.

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Abstract-Web personalisation uses what systems know about us to create content targeted at our interests. When unwanted personalisation suggests we are interested in sensitive or embarrassing topics a natural reaction is to deny interest. This is a practical response only if denial of our interest is credible or plausible. Adopting a definition of plausible deniability in the usual sense of "on the balance of probabilities", we develop a practical and scalable tool called PDE allowing a user to decide when their ability to plausibly deny interest in sensitive topics is compromised. We show that threats to plausible deniability are readily detectable for all topics tested in an extensive testing program. Of particular concern is observation of threats to deniability of interest in topics related to health and sexual preferences. We show this remains the case when attempting to disrupt search engine learning through noise query injection and click obfuscation. We design a defence technique exploiting uninteresting, proxy topics and show that it provides a more effective defence of plausible deniability in our experiments.

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User-private information retrieval based on a peer-to-peer community

Cited by 57 publications

References 10 publications

Enabling Collaborative Privacy in User-Generated Emergency Reports

Enabling Collaborative Privacy in User-Generated Emergency Reports

Selected Privacy Research Topics in the ARES Project: An Overview

Plausible Deniability in Web Search—From Detection to Assessment

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