| Title | PriDe: A Quantitative Measure of Privacy-Loss in Interactive Querying Settings |
| Publication Type | Conference Paper |
| Year of Publication | 2019 |
| Authors | Khan, Muhammad Imran, Foley, Simon N., O'Sullivan, Barry |
| Conference Name | 2019 10th IFIP International Conference on New Technologies, Mobility and Security (NTMS) |
| Date Published | jun |
| Keywords | Analytical 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 |
| 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. |
| DOI | 10.1109/NTMS.2019.8763781 |
| Citation Key | khan_pride_2019 |
PriDe: A Quantitative Measure of Privacy-Loss in Interactive Querying Settings