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Privacy for Public Transportation

Authors: Heydt-Benjamin, TS; Chae, HJ; Defend, B; Fu, K;

Privacy for Public Transportation

Abstract

We propose an application of recent advances in e-cash, anonymous credentials, and proxy re-encryption to the problem of privacy in public transit systems with electronic ticketing. We discuss some of the interesting features of transit ticketing as a problem domain, and provide an architecture sufficient for the needs of a typical metropolitan transit system. Our system maintains the security required by the transit authority and the user while significantly increasing passenger privacy. Our hybrid approach to ticketing allows use of passive RFID transponders as well as higher powered computing devices such as smartphones or PDAs. We demonstrate security and privacy features offered by our hybrid system that are unavailable in a homogeneous passive transponder architecture, and which are advantageous for users of passive as well as active devices.

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    60
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
Found an issue? Give us feedback
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
60
Top 10%
Top 10%
Top 10%
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