Protecting source privacy in federated search

Authors:
Wei Jiang;Luo Si;Jing Li
Affiliations:
Purdue University, West Lafayette, IN;Purdue University, West Lafayette, IN;Purdue University, West Lafayette, IN
Venue:
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Year:
2007

Citing 4
Cited 0

Crowds: anonymity for Web transactions

ACM Transactions on Information and System Security (TISSEC)
A method for obtaining digital signatures and public-key cryptosystems

Communications of the ACM
Advances in Informational Retrieval: Recent Research from the Center for Intelligent Information Retrieval

Advances in Informational Retrieval: Recent Research from the Center for Intelligent Information Retrieval
Anonymous Connections and Onion Routing

SP '97 Proceedings of the 1997 IEEE Symposium on Security and Privacy

Quantified Score

Hi-index	0.00

Visualization

Abstract

Many information sources contain information that can only be accessed through search-specific search engines. Federated search provides search solutions of this type of hidden information that cannot be searched by conventional search engines. In many scenarios of federated search, such as the search among health care providers or among intelligence agencies, an individual information source does not want to disclose the source of the search results to users or other sources. Therefore, this paper proposes a two-step federated search protocol that protects the privacy of information sources. As far as we know, this is the first attempt to address the research problem of protecting source privacy in federated text search.