Request For Research Presentations For the PrivacyCon Conference
Researcher making the request: Janne Lindqvist email: [redacted] phone: [redacted] Title: Transforming Speed Sequences into Road Rays on the Map with Elastic Pathing Abstract: Advances in technology have provided ways to monitor and measure driving behavior. Recently, this technology has been applied to usage-based automotive insurance policies that offer reduced insurance premiums to policy holders who opt-in to automotive monitoring. Several companies claim to measure only speed data, which they further claim preserves privacy. However, we have developed an algorithm - elastic pathing - that successfully tracks drivers' locations from speed data. The algorithm tracks drivers by assuming a start position, such as the driver's home address (which is typically known to insurance companies), and then estimates the possible routes by fitting the speed data to map data. To demonstrate the algorithm's real-world applicability, we evaluated its performance with driving datasets from central New Jersey and Seattle, Washington, representing suburban and urban areas. We are able to estimate destinations with error within 250 meters for 17% of the traces and within 500 meters for 24% of the traces in the New Jersey dataset, and with error within 250 and 500 meters for 15.5% and 27.5% of the traces, respectively, in the Seattle dataset. Our work shows that these insurance schemes enable a substantial breach of privacy. This is the definitive version of our work on elastic pathing, and this article has been published in the arXiv at https://arxiv.org/abs/1710.06932. This article supersedes both arXiv:1401.0052 and the earlier work published in Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp'14). Please see http://elasticpathing.org for further information, including video demonstrations of this work. In addition to presentation, we can also demonstrate how the algorithm works with video demonstrations as shown in the above URL.