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Secure and Private Sensing for Driver Authentication and Transportation Safety

Recent technology trends have allowed affordable and efficient collection of driver data. This has enabled a variety of potential applications, including more accurate pricing determinations for insurance and finer grained traffic planning for improved public safety. Although this technological growth provides for a wealth of new opportunities, given the safety implications of driving, there are many security and privacy issues that must be considered for their deployment. For instance, some applications require access to a vehicle's engine via a debug interface, known as On-Board Diagnostics (OBD-II), which may provide a vector for attack. Other systems may involve GPS tracking, which can potentially violate a driver's privacy. Our research seeks to find solutions to these shortcomings by using local sensing and monitoring to support the development of new driver devices and applications while preserving vehicular security and privacy. The significance of the proposed research cannot be overstated. A report released in October of 2013 estimated that 1.6 million drivers have signed on to use Progressive's Snapshot [9] since 2008, and since that time the company has collected driving data over more than 8 billion miles [8].

Project Details

Project Type: 
Faculty-Initiated Research
Project Dates: 
June 1, 2015 to June 30, 2017
Principal Investigators: 
Jonathan Voris
N. Sertac Artan
Wenjia Li
Institution: 
New York Institute of Technology (NYIT)
Sponsor(s): 
University Transportation Research Center (UTRC)
Publications: 
Final Report
Project Status: 
Complete
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