PICS: Internet access controls without censorship

Resnick, Paul; Miller, James

doi:10.1145/236156.236175

Cited by 119 publications

(62 citation statements)

References 8 publications

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“…As mentioned above, credentials may be, in addition to public key certificates, also attribute certificates, revocations, or other credentials such a [13] rating or a record from a database (e.g. the Dun and Bradstreet record returned by Eccelerate [3]).…”

Section: Credential Properties and Typesmentioning

confidence: 99%

Relying Party Credentials Framework

Herzberg

Mass

2004

Electronic Commerce Research

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Abstract. We present architecture for framework to allow a relying-party to decide if and how to handle requests coming over the Net, by relying on the credentials of the requesting party. Relying party applications will be provided with uniform interface to the credentials of the requesting party. This will allow use of simple, widely available credentials as well as more advanced credentials such as public key certificates, attribute certificates and `Negative` credentials (which result in reduced trust) such as certificate revocation lists (CRL). The core of the architecture is a Credential Manager who will provide all credential management functions, including collection of credentials, providing uniform interface to credentials, and extracting semantics relevant to the relying party's applications.

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Section: Credential Properties and Typesmentioning

confidence: 99%

Relying Party Credentials Framework

Herzberg

Mass

2004

Electronic Commerce Research

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“…In the latter, Web resources are described by metadata associated with them, which are used for evaluating whether they can be accessed or not, depending on the preferences specified by the end user or a supervisor. Such approach is adopted mainly by the rating systems based on the PICS (Platform for Internet Content Selection) W3C standard [1], which defines a general format for content labels to be associated with Web sites.…”

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confidence: 99%

An Integrated Approach to Rating and Filtering Web Content

Bertino

Ferrari

Perego

et al. 2005

Innovations in Applied Artificial Intelligence

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Abstract. In this poster, we will illustrate an integrated approach to Web filtering, whose main features are flexible filtering policies taking into account both users' characteristics and resource content, the specification of an ontology for the filtering domain, and the support for the main filtering strategies currently available. Our approach has been implemented in two prototypes, which address the needs of both home and institutional users, and which enforce filtering strategies more sophisticated and flexible than the ones currently available.

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“…PICS was designed to provide a standard interface through which Web browsers could access rating bureaus, and through which rating bureaus could provide page ratings for their subscribers (Resnick and Miller, 1996). The idea was to unify the wide range of content rating and filtering services that were emerging with a standard interface, so that those who wanted to filter out pornography or immorality could do so, and so that others who might want to rate pages on other criteria (including automated collaborative filtering) could set up such rating bureaus.…”

Section: Automated Collaborative Filteringmentioning

confidence: 99%