Crowds: Anonymity for Web Transactions

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Crowds: Anonymity for Web Transactions (1997)

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by Michael K. Reiter , Aviel D. Rubin

Venue:	ACM Transactions on Information and System Security
Citations:	836 - 13 self

BibTeX

@ARTICLE{Reiter97crowds:anonymity,
    author = {Michael K. Reiter and Aviel D. Rubin},
    title = {Crowds: Anonymity for Web Transactions},
    journal = {ACM Transactions on Information and System Security},
    year = {1997},
    volume = {1},
    pages = {66--92}
}

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Abstract

this paper we introduce a system called Crowds for protecting users' anonymity on the worldwide -web. Crowds, named for the notion of "blending into a crowd", operates by grouping users into a large and geographically diverse group (crowd) that collectively issues requests on behalf of its members. Web servers are unable to learn the true source of a request because it is equally likely to have originated from any member of the crowd, and even collaborating crowd members cannot distinguish the originator of a request from a member who is merely forwarding the request on behalf of another. We describe the design, implementation, security, performance, and scalability of our system. Our security analysis introduces degrees of anonymity as an important tool for describing and proving anonymity properties.

Keyphrases

web transaction diverse group true source security analysis introduces degree worldwide web web server crowd member anonymity property important tool issue request

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