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The Least Privacy-Damaging Centralised Traffic Data Retention Architecture

(Extended Abstract)
  • George Danezis
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7028)

Abstract

We present a protocol that can be used by service providers to store traffic records centrally, while only making them readable to law enforcement after a proper authorisation has been issued and logged. Despite the system’s best efforts to prevent mass profiling and surveillance, we discuss how it is inherently fragile.

Keywords

Service Provider Random Oracle Data Retention Remote Storage Central Data Store 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Escudero-Pascual, A., Hosein, I.: Questioning lawful access to traffic data. Communications of the ACM 47(3), 77–82 (2004)CrossRefGoogle Scholar
  2. 2.
    Taylor, M.: The EU Data Retention Directive. Computer Law & Security Report 22(4), 309–312 (2006)CrossRefGoogle Scholar
  3. 3.
    Schneier, B., Kelsey, J.: Secure audit logs to support computer forensics. ACM Trans. Inf. Syst. Secur. 2(2), 159–176 (1999)CrossRefGoogle Scholar
  4. 4.
    Goh, E.J., Shacham, H., Modadugu, N., Boneh, D.: Sirius: Securing remote untrusted storage. In: NDSS. The Internet Society (2003)Google Scholar
  5. 5.
    Li, J., Krohn, M.N., Mazières, D., Shasha, D.: Secure untrusted data repository (sundr). In: OSDI, pp. 121–136 (2004)Google Scholar
  6. 6.
    Danezis, G., Wittneben, B.: The Economics of Mass Surveillance and the Questionable Value of Anonymous Communications. In: Proceedings of the 5th Workshop on The Economics of Information Security, WEIS 2006 (June 2006)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • George Danezis
    • 1
  1. 1.Microsoft Research CambridgeCambridgeU.K.

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