Crowds: anonymity for Web transactions
ACM Transactions on Information and System Security (TISSEC)
Journal of the ACM (JACM)
Anonymous Web transactions with Crowds
Communications of the ACM
Untraceable electronic mail, return addresses, and digital pseudonyms
Communications of the ACM
A new privacy model for hiding group interests while accessing the Web
Proceedings of the 2002 ACM workshop on Privacy in the Electronic Society
A New Privacy Model for Web Surfing
NGITS '02 Proceedings of the 5th International Workshop on Next Generation Information Technologies and Systems
k-anonymity: a model for protecting privacy
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
Replication is not needed: single database, computationally-private information retrieval
FOCS '97 Proceedings of the 38th Annual Symposium on Foundations of Computer Science
Adaptive web search based on user profile constructed without any effort from users
Proceedings of the 13th international conference on World Wide Web
Personalizing search via automated analysis of interests and activities
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Automatic identification of user interest for personalized search
Proceedings of the 15th international conference on World Wide Web
An algorithmic approach to social networks
An algorithmic approach to social networks
Privacy-enhancing personalized web search
Proceedings of the 16th international conference on World Wide Web
Privacy protection in personalized search
ACM SIGIR Forum
Proceedings of the 2007 ACM workshop on Privacy in electronic society
Taming the torrent: a practical approach to reducing cross-isp traffic in peer-to-peer systems
Proceedings of the ACM SIGCOMM 2008 conference on Data communication
A Public-Key Protocol for Social Networks with Private Relationships
MDAI '07 Proceedings of the 4th international conference on Modeling Decisions for Artificial Intelligence
Peer-to-Peer Private Information Retrieval
PSD '08 Proceedings of the UNESCO Chair in data privacy international conference on Privacy in Statistical Databases
Preserving user's privacy in web search engines
Computer Communications
Privacy preservation improvement by learning optimal profile generation rate
UM'03 Proceedings of the 9th international conference on User modeling
Using social networks to distort users' profiles generated by web search engines
Computer Networks: The International Journal of Computer and Telecommunications Networking
Coprivacy: towards a theory of sustainable privacy
PSD'10 Proceedings of the 2010 international conference on Privacy in statistical databases
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Abstract: Web search engines (WSE) have become an essential tool for searching information on the Internet. In order to provide personalized search results for the users, WSEs store all the queries which have been submitted by the users and the search results which they have selected. The AOL scandal in 2006 proved that this information contains personally identifiable information which represents a privacy threat for the users who have generated it. In this way, AOL released a file containing twenty million queries made by 658,000 persons and several of those users were successfully tracked. In this paper, we propose a P2P protocol that exploits social networks in order to protect the privacy of the users from the profiling mechanisms of the WSEs. The proposed scheme has been designed considering the presence of users who do not follow the protocol (i.e., adversaries). In order to evaluate the privacy of the users, we have designed a new measure (the profile exposure level (PEL)). Finally, we have used the AOL's file in order to simulate the behavior of our scheme with real queries which have been generated by real users. Our tests show that our scheme is usable in practice and that it preserves the privacy of the users even in the presence of adversaries.