How to Make Personalized Web Browising Simple, Secure, and Anonymous
FC '97 Proceedings of the First International Conference on Financial Cryptography
Privacy through pseudonymity in user-adaptive systems
ACM Transactions on Internet Technology (TOIT)
k-anonymity: a model for protecting privacy
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
k-anonymous message transmission
Proceedings of the 10th ACM conference on Computer and communications security
Privacy-enhancing k-anonymization of customer data
Proceedings of the twenty-fourth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Anonymity-preserving data collection
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
Foundations of Cryptography: Volume 1
Foundations of Cryptography: Volume 1
UPS: efficient privacy protection in personalized web search
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
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To receive personalized web services, the user has to provide personal information and preferences, in addition to the query itself, to the web service. However, detailed personal information could identify the sender of sensitive queries, thus compromise user privacy. We propose the notion of online anonymity to enable users to issue personalized queries to an untrusted web service while with their anonymity preserved. The challenge for providing online anonymity is dealing with unknown and dynamic web users who can get online and offline at any time. We define this problem, discuss its implications and differences from the problems in the literature, and propose a solution.