BuildSys'15 : proceedings of the 2nd ACM International Conference on Embedded Systems for Energy-Efficient Buildings : November 4-5, 2015, Seoul, South Korea. ACM Conference on Embedded Systems for Energy-Efficient Buildings (2nd : 2015...最新文献
Bo-Jhang Ho, Paul Martin, Prashanth Swaminathan, Mani Srivastava
Pervasive mobile devices have enabled countless context-and location-based applications that facilitate navigation, life-logging, and more. As we build the next generation of smart cities, it is important to leverage the rich sensing modalities that these numerous devices have to offer. This work demonstrates how mobile devices can be used to accurately track driving patterns based solely on pressure data collected from the device's barometer. Specifically, by correlating pressure time-series data against topographic elevation data and road maps for a given region, a centralized computer can estimate the likely paths through which individual users have driven, providing an exceptionally low-power method for measuring driving patterns of a given individual or for analyzing group behavior across multiple users. This work also brings to bear a more nefarious side effect of pressure-based path estimation: a mobile application can, without consent and without notifying the user, use pressure data to accurately detect an individual's driving behavior, compromising both user privacy and security. We further analyze the ability to predict driving trajectories in terms of the variance in barometer pressure and geographical elevation, demonstrating cases in which more than 80% of paths can be accurately predicted.
{"title":"From Pressure to Path: Barometer-based Vehicle Tracking.","authors":"Bo-Jhang Ho, Paul Martin, Prashanth Swaminathan, Mani Srivastava","doi":"10.1145/2821650.2821665","DOIUrl":"https://doi.org/10.1145/2821650.2821665","url":null,"abstract":"<p><p>Pervasive mobile devices have enabled countless context-and location-based applications that facilitate navigation, life-logging, and more. As we build the next generation of <i>smart</i> cities, it is important to leverage the rich sensing modalities that these numerous devices have to offer. This work demonstrates how mobile devices can be used to accurately track driving patterns based solely on pressure data collected from the device's barometer. Specifically, by correlating pressure time-series data against topographic elevation data and road maps for a given region, a centralized computer can estimate the likely paths through which individual users have driven, providing an exceptionally low-power method for measuring driving patterns of a given individual or for analyzing group behavior across multiple users. This work also brings to bear a more nefarious side effect of pressure-based path estimation: a mobile application can, without consent and without notifying the user, use pressure data to accurately detect an individual's driving behavior, compromising both user privacy and security. We further analyze the ability to predict driving trajectories in terms of the variance in barometer pressure and geographical elevation, demonstrating cases in which more than 80% of paths can be accurately predicted.</p>","PeriodicalId":92182,"journal":{"name":"BuildSys'15 : proceedings of the 2nd ACM International Conference on Embedded Systems for Energy-Efficient Buildings : November 4-5, 2015, Seoul, South Korea. ACM Conference on Embedded Systems for Energy-Efficient Buildings (2nd : 2015...","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1145/2821650.2821665","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"35882459","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
BuildSys'15 : proceedings of the 2nd ACM International Conference on Embedded Systems for Energy-Efficient Buildings : November 4-5, 2015, Seoul, South Korea. ACM Conference on Embedded Systems for Energy-Efficient Buildings (2nd : 2015...
扫码关注我们
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号