@inbook{8e0b38f730c94df495153ffa9c5d54f5,
title = "PriDe: A quantitative measure of privacy-loss in interactive querying settings",
abstract = "This paper presents, PriDe, a model to measure the deviation of an analyst's (user) querying behaviour from normal querying behaviour. The deviation is measured in terms of privacy, that is to say, how much of the privacy loss has incurred due to this shift in querying behaviour. The shift is represented in terms of a score - a privacy-loss score, the higher the score the more the loss in privacy. Querying behaviour of analysts are modelled using n-grams of SQL query and subsequently, behavioural profiles are constructed. Profiles are then compared in terms of privacy resulting in a quantified score indicating the privacy loss.",
keywords = "Electronic Privacy, N-gram model, Privacy-loss score, Relational Database Management Systems",
author = "Khan, \{Muhammad Imran\} and Foley, \{Simon N.\} and Barry O'Sullivan",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 10th IFIP International Conference on New Technologies, Mobility and Security, NTMS 2019 ; Conference date: 24-06-2019 Through 26-06-2019",
year = "2019",
month = jun,
doi = "10.1109/NTMS.2019.8763781",
language = "English",
series = "2019 10th IFIP International Conference on New Technologies, Mobility and Security, NTMS 2019 - Proceedings and Workshop",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2019 10th IFIP International Conference on New Technologies, Mobility and Security, NTMS 2019 - Proceedings and Workshop",
address = "United States",
}