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PriDe: A Quantitative Measure of Privacy-Loss in Interactive Querying Settings

Authors: 
Publication Type: 
Refereed Conference Meeting Proceeding
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.
Conference Name: 
10th IFIP International Conference on New Technologies, Mobility and Security
Digital Object Identifer (DOI): 
10.1109/NTMS.2019.8763781
Publication Date: 
24/06/2019
Conference Location: 
Spain
Institution: 
National University of Ireland, Cork (UCC)
Open access repository: 
No