Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

YouTube

Data Recovery on Encrypted Databases with k-Nearest Neighbor Query Leakage

IEEE via YouTube

Overview

Explore a groundbreaking presentation on data recovery attacks targeting encrypted databases supporting k-nearest neighbor (k-NN) queries. Delve into the first-of-its-kind research that examines both unordered and ordered response scenarios, analyzing their vulnerabilities to exact and approximate reconstruction attacks. Understand the theoretical feasibility of exact reconstruction and the practical implications of approximate reconstruction techniques. Learn how these attacks can be applied to privacy-sensitive geolocation data using Hilbert curves for multidimensional spatial data mapping. Discover the potential risks and accuracy of these attacks through experiments conducted on real-world datasets, revealing relative errors ranging from 2.9% to 0.003% in reconstructing plaintext values.

Syllabus

Data Recovery on Encrypted Databases with k-Nearest Neighbor Query Leakage

Taught by

IEEE Symposium on Security and Privacy

Reviews

Start your review of Data Recovery on Encrypted Databases with k-Nearest Neighbor Query Leakage

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.