Journal
IEEE TRANSACTIONS ON DEPENDABLE AND SECURE COMPUTING
Volume 18, Issue 6, Pages 2801-2819Publisher
IEEE COMPUTER SOC
DOI: 10.1109/TDSC.2020.2965111
Keywords
Privacy; security; information retrieval
Categories
Funding
- National Institutes of Health [R01HG006844, RM1HG009034]
- National Science Foundation [CNS-1855391]
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Information retrieval is crucial in daily life, but current technologies like Apache Lucene may not suffice when dealing with protected or private information. Private information retrieval approaches aim to address this issue by allowing users to retrieve sensitive information without compromising privacy, although they may have limitations in information relevancy.
Information retrieval (IR) plays an essential role in daily life. However, currently deployed IR technologies, e.g., Apache Lucene - open-source search software, are insufficient when the information is protected or deemed to be private. For example, submitting a query to a publicly available search engine (e.g., Bing or Google) requires disclosing potentially delicate facts (e.g., thoughts about abortion), as well as the websites the user considers interesting. Similarly, when a private database contains sensitive information needed by the user, it cannot be searched freely. Over the past decade, various approaches, generally referred to as private information retrieval, have been proposed to obfuscate queries and responses, but they are limited in that the retrieved information is inadequate to compute relevancy. To address such limitations, this article introduces the necessary techniques to build Lucene-P-2 that allows one party to discover whether a second party harbors any relevant textual information without either party disclosing any information.
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