PhD Seminar • Data Systems • Don’t Be a Tattle-tale: Preventing Leakages through Data Dependencies on Access Control Protected DataExport this event to calendar

Wednesday, October 5, 2022 — 12:00 PM to 1:00 PM EDT

Please note: This PhD seminar will take place online.

Shufan Zhang, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Xi He

We study the problem of answering queries when (part of) the data may be sensitive and should not be leaked to the querier. Simply restricting the computation to non-sensitive parts of the data may leak sensitive data through inference based on data dependencies. While inference control from data dependencies during query processing has been studied in the literature, existing solutions either detect and deny queries causing leakage, or use a weak security model that only protects against exact reconstruction of the sensitive data.

In this paper, we adopt a stronger security model based on full deniability that prevents any information about sensitive data to be inferred from query answers. We identify conditions under which full deniability can be achieved and develop an efficient algorithm that minimally hides non-sensitive cells during query processing to achieve full deniability. We experimentally show that our approach is practical and scales to increasing proportion of sensitive data, as well as to increasing database size.


To join this PhD seminar on Zoom, please go to https://uwaterloo.zoom.us/j/94349250988.

Location 
Online PhD seminar
200 University Avenue West

Waterloo, ON N2L 3G1
Canada
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