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  1. Proceedings of the 2005 ACM workshop on Privacy in the electronic society (WPES '05)
  2. Quantitative evaluation of unlinkable ID matching schemes
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The pynchon gate: a secure method of pseudonymous mail retrieval
Disabling RFID tags with visible confirmation: clipped tags are silenced
Quantitative evaluation of unlinkable ID matching schemes
Secure off-the-record messaging
Maintaining privacy on derived objects
Privacy for RFID through trusted computing
Coercion-resistant electronic elections
Peripheral privacy notifications for wireless networks
Protecting privacy in tabular healthcare data: explicit uncertainty for disclosure control
Specifying electronic voting protocols in typed MSR
Information revelation and privacy in online social networks
The privacy cost of the second-chance offer
Anonymous yet accountable access control
Determining user privacy preferences by asking the right questions: an automated approach
Mining rule semantics to understand legislative compliance

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Quantitative evaluation of unlinkable ID matching schemes

Content Provider ACM Digital Library
Author Inoue, Sozo Baba, Kensuke Nohara, Yasunobu Yasuura, Hiroto
Abstract As pervasive computing environments become popular, RFID devices, such as contactless smart cards and RFID tags, are introduced into our daily life. However, there exists a privacy problem that a third party can trace user's behavior by linking device's ID.The concept of unlinkability, that a third party cannot recognize whether some outputs are from the same user, is important to solve the privacy problem. A scheme using hash function satisfies unlinkability against a third party by changing the outputs of RFID devices every time. However, the schemes are not scalable since the server needs O(N) hash calculations for every ID matching, where N is the number of RFID devices.In this paper, we propose the K-steps ID matching scheme, which can reduce the number of the hash calculations on the server to O(log N). Secondly, we propose a quantification of unlinkability using conditional entropy and mutual information. Finally, we analyze the K-steps ID matching scheme using the proposed quantification, and show the relation between the time complexity and unlinkability.
Starting Page 55
Ending Page 60
Page Count 6
File Format PDF
ISBN 1595932283
DOI 10.1145/1102199.1102212
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2005-11-07
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Privacy Degree of unlinkability K-steps id matching Rfid security
Content Type Text
Resource Type Article
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