Constructive Research Study of Location-Proximity Privacy-Preserving Algorithm Capabilities as Part of a Mobile Application
Year: 2016
Type: dissertation
Abstract: Location Based Services (LBS) have been responsible\nfor several privacy breaches of their users in recent years\nand a number of researchers have put forward solutions towards\nmaking LBS more secure in regards to user location privacy.\nHowever, the proposed protocols were rarely tested in real\nconditions. This research study will create an artifact, an Android\napplication that implements one of the state-of-the-art protocols\nfor location privacy preservation, and test its performance to\ndetermine if the state of the protocols is at a stage where it can\nbe implemented in real world applications. We have found that\nthe performance of our artifact in short distances is comparable\nto real applications as it took 5 seconds to check proximity\nbetween users in 25 meter radius. However, the computation\ntime increases drastically with increase in radius values and\nthe protocol took 72 seconds to check proximity for 100 meter\nradius. Such time frames are insufficient as we believe most\nusers are not willing to wait so long for an application to\nprocess their requests. Therefore we were unable to show that\nthe state-of-the-art location privacy-preserving algorithms are\nready for adaptation in real world applications, although certain\nmodifications to coordinate precision could correct that.
Authors: Simonas Stirbys, Omar Abu Nabah
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2591934215