@inbook{f07c0305c26641ffb7daad3e4dfcd50b,
title = "A novel private information retrieval technique for private DNS resolution",
abstract = "Recently, advancements in various analytical techniques have enabled to encourage the unethical business to violate user privacy and market the analytical results. Existing user privacy-preserving techniques based on intractability assumptions have proved to offer only conditional user privacy. Thus, interest in perfect (i.e., unconditional) user privacy-preserving information retrieval techniques are receiving enormous attention. We have successfully constructed a single database perfect privacy-preserving information retrieval technique using Private Information Retrieval (PIR). We have proposed a novel perfect privacy-preserving PIR technique in a single database setting with non-trivial communication cost for private Domain Name System (DNS) resolution. We have further extended the proposed scheme to a computationally efficient scheme by varying the security parameter without losing the level of user privacy.",
author = "Radhakrishna Bhat and Sunitha, {N. R.}",
note = "Publisher Copyright: {\textcopyright} Springer Nature Singapore Pte Ltd. 2019.",
year = "2019",
doi = "10.1007/978-981-10-8797-4_18",
language = "English",
series = "Studies in Computational Intelligence",
publisher = "Springer Verlag",
pages = "163--171",
booktitle = "Studies in Computational Intelligence",
address = "Germany",
}