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  1. Proceedings of the 2005 ACM workshop on Privacy in the electronic society (WPES '05)
  2. Maintaining privacy on derived objects
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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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Maintaining privacy on derived objects

Content Provider ACM Digital Library
Author Zannone, Nicola Massacci, Fabio Wijesekera, Duminda Jajodia, Sushil
Abstract Protecting privacy means to ensure users that access to their personal data complies with their preferences. However, information can be manipulated in order to derive new objects that may disclose part of the original information. Therefore, control of information flow is necessary for guaranteeing privacy protection since users should know and control not only who access their personal data, but also who access information derived from their data. Actually, current approaches for access control do not provide support for managing propagation of information and for representing user preferences.This paper proposes to extend the Flexible Authorization Framework (FAF) in order to automatically verify whether a subject is entitled to process personal data and derive the authorizations associated with the outcome of data processing. In order to control information flow, users may specify the range of authorizations that can be associated with objects derived from their data. The framework guarantees that every "valid" derived object does not disclose more information than users want and preserves the permissions that users want to maintain. To make the discussion more concrete, we illustrate the proposal with a bank case study.
Starting Page 10
Ending Page 19
Page Count 10
File Format PDF
ISBN 1595932283
DOI 10.1145/1102199.1102202
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2005-11-07
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Access control Information flow Data protection
Content Type Text
Resource Type Article
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