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<b>URL:</b>
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<a href="http://nms.csail.mit.edu/~ramki/mobicom07.pdf">http://nms.csail.mit.edu/~ramki/mobicom07.pdf</a>
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<b>ENTRY DATE:</b>
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2008-06-16


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<b>ABSTRACT:</b>
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The ubiquity of 802.11 devices and networks enables anyone to track our
every move with alarming ease. Each 802.11 device transmits a globally
unique and persistent MAC address and thus is trivially identifiable. In
response, recent research has proposed replacing such identifiers with
pseudonyms (i.e., temporary, unlinkable names). In this paper, we
demonstrate that pseudonyms are insufficient to prevent tracking of
802.11 devices because implicit identifiers, or identifying
characteristics of 802.11 traffic, can identify many users with high
accuracy. For example, even without unique names and addresses, we
estimate that an adversary can identify 64% of users with 90% accuracy
when they spend a day at a busy hot spot. We present an automated
procedure based on four previously unrecognized implicit identifiers
that can identify users in three real 802.11 traces even when pseudonyms
and encryption are employed. We find that the majority of users can be
identified using our techniques, but our ability to identify users is
not uniform; some users are not easily identifiable. Nonetheless, we
show that even a single implicit identifier is sufficient to distinguish
many users. Therefore, we argue that design considerations beyond
eliminating explicit identifiers (i.e., unique names and addresses),
must be addressed in order to prevent user tracking in wireless
networks.



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