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Censorship resistance revisited

Publication ,  Conference
Perng, G; Reiter, MK; Wang, C
Published in: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
January 1, 2006

"Censorship resistant" systems attempt to prevent censors from imposing a particular distribution of content across a system. In this paper, we introduce a variation of censorship resistance (CR) that is resistant to selective filtering even by a censor who is able to inspect (but not alter) the internal contents and computations of each data server, excluding only the server's private signature key. This models a service provided by operators who do not hide their identities from censors. Even with such a strong adversarial model, our definition states that CR is only achieved if the censor must disable the entire system to filter selected content. We show that existing censorship resistant systems fail to meet this definition; that Private Information Retrieval (PIR) is necessary, though not sufficient, to achieve our definition of CR; and that CR is achieved through a modification of PIR for which known implementations exist. © Springer-Verlag Berlin Heidelberg 2005.

Duke Scholars

Published In

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

EISSN

1611-3349

ISSN

0302-9743

ISBN

9783540290391

Publication Date

January 1, 2006

Volume

3727 LNCS

Start / End Page

62 / 76

Related Subject Headings

  • Artificial Intelligence & Image Processing
 

Citation

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Perng, G., Reiter, M. K., & Wang, C. (2006). Censorship resistance revisited. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3727 LNCS, pp. 62–76).
Perng, G., M. K. Reiter, and C. Wang. “Censorship resistance revisited.” In Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3727 LNCS:62–76, 2006.
Perng G, Reiter MK, Wang C. Censorship resistance revisited. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2006. p. 62–76.
Perng, G., et al. “Censorship resistance revisited.” Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3727 LNCS, 2006, pp. 62–76.
Perng G, Reiter MK, Wang C. Censorship resistance revisited. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2006. p. 62–76.
Journal cover image

Published In

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

EISSN

1611-3349

ISSN

0302-9743

ISBN

9783540290391

Publication Date

January 1, 2006

Volume

3727 LNCS

Start / End Page

62 / 76

Related Subject Headings

  • Artificial Intelligence & Image Processing