Visible to the public PriDe: A Quantitative Measure of Privacy-Loss in Interactive Querying Settings

TitlePriDe: A Quantitative Measure of Privacy-Loss in Interactive Querying Settings
Publication TypeConference Paper
Year of Publication2019
AuthorsKhan, Muhammad Imran, Foley, Simon N., O'Sullivan, Barry
Conference Name2019 10th IFIP International Conference on New Technologies, Mobility and Security (NTMS)
Date Publishedjun
KeywordsAnalytical models, behavioural profiles, Data models, data privacy, Databases, Electronic Privacy, interactive querying settings, Loss measurement, Metrics, N-gram model, PriDe measure, privacy, privacy models and measurement, privacy-loss score, pubcrawl, quantitative measure, query processing, querying behaviour, relational database management systems, SQL, SQL query, Urban areas
AbstractThis 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.
Citation Keykhan_pride_2019