User Perspective of Privacy in Mobility Pricing Systems: A Survey

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User Perspective of Privacy in Mobility Pricing
Systems A Survey
The Second International Conference on Legal,
Security and Privacy issues in IT (LSPI) 2007,
December 5-7, 2007, Beijing, China
Muhammad Usman Iqbal Samsung Lim The University
of New South Wales
School of Surveying Spatial Information
Systems The University of New South Wales,
Australia
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GNSS Revolution
GLONASS
GPS
Galileo
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247 Positioning Availability
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The Automobile Evolution

• Past
• Mechanical hydraulic
• Unreliable
• Uncomfortable
• Present
• Uses computers
• GPS navigation
• Keyless ignition
• Various additional sensors

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GPS and the Smart Car Revolution

• Majority of consumers
• Vehicles
• Mobile phone users
• Recent avenues include
• Telematics
• Mobility Pricing

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Telematics
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Mobility Pricing
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Other Mobility-pricing Examples

• Electronic Tolls
• GPS-based parking
• Motor Vehicle Tax
• Congestion Charging

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Highly accurate locational data
Spatial privacy issues !!
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Privacy Issues GPS Profiling
vehicle parked ? Significant location
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Privacy Survey

• GPS-based insurance
• Case study
• Respondents asked if they will pay a higher price
  for privacy
• Social location disclosure
• Rewards program

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Pre-Survey Video
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Survey Instrument

• Population
• Convenience model
• Academics, students, ITC Experts, Privacy and Law
  experts (minority)
• Students are over-represented
• Method
• Available online
• Convenience to finish it at a later stage
• Questionnaire
• Demographics
• Social location disclosure
• Redesign of GPS-based insurance

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Telematics and GPS navigation

• 60 respondents interested in acquiring GPS
  products
• 81 are interested in telematics products
• Free (56)
• Subscription (25)

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Privacy and Cost Trade-off
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Rewards program and location disclosure

• Uploading GPS logs to get reward points
• Similar to credit card rewards
• Can be utilised for products or services

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Rewards program and demographics
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Social disclosure of location

• Friend-finder type applications
• Friend of friend applications
• Granularity control
• Temporal control
• Results suggest, users only disclose location to
  family at all times.
• Majority declined to share location with
  work-related personnel.

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Relationship between disclosure and choice of
GPS-based insurance

• Statistical correlation exists
• The type of privacy chosen in GPS-based insurance
• And social disclosure of location
• Telematics companies can use this data to design
  privacy-respecting systems
• GM Fleetview

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Conclusion

• Preliminary results suggest, users are pragmatist
• To gain user confidence, LBS and telematics
  should offer privacy-respectingsolutions
• Future work assess the amount users are willing
  to pay for privacy with GPS-based insurance

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Acknowledgement

• This work is supported by Omnilink Pty Ltd.

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Thank you for your time!

• Questions?