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P3P: Making Privacy Policies More Useful

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Lorrie Faith CranorAuthors Info & Claims

IEEE Security and Privacy, Volume 1, Issue 6

Pages 50 - 55

https://doi.org/10.1109/MSECP.2003.1253568

Published: 01 November 2003 Publication History

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Abstract

This article provides an introduction to the World Wide Web Consortium's Platform for Privacy Preferences (P3P) specification. P3P provides a standard way for Web sites to convey their privacy policies in a computer-readable format. The article describes the motivations behind P3P and how it works. In addition, it includes an overview of P3P-related software, discusses P3P adoption, and describes future P3P standardization efforts. Finally, the article discusses critics' views of P3P and discusses the standards' potential impacts.

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More SHeher JFasllija EMathie M(2024)Service Provider Accreditation: Enabling and Enforcing Privacy-by-Design in Credential-based Authentication SystemsProceedings of the 19th International Conference on Availability, Reliability and Security10.1145/3664476.3669934(1-11)Online publication date: 30-Jul-2024
https://dl.acm.org/doi/10.1145/3664476.3669934
Zahid SBristy AOli MFahim MRumee SZaber M(2024)Making EULA Great Again: A Novel Nudge Mechanism to Improve Readability, User Attention and AwarenessInformation Systems Security10.1007/978-3-031-80020-7_20(338-358)Online publication date: 16-Dec-2024
https://dl.acm.org/doi/10.1007/978-3-031-80020-7_20
Zhu PWen LLiu JXue FLou JWang ZRen KOh ANaumann TGloberson ASaenko KHardt MLevine S(2023)CAPP-130Proceedings of the 37th International Conference on Neural Information Processing Systems10.5555/3666122.3668148(46773-46785)Online publication date: 10-Dec-2023
https://dl.acm.org/doi/10.5555/3666122.3668148
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P3P: Making Privacy Policies More Useful
1. Security and privacy
2. Social and professional topics
  1. Computing / technology policy

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Published In

IEEE Security and Privacy Volume 1, Issue 6

November 2003

93 pages

ISSN:1540-7993

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IEEE Educational Activities Department

United States

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Published: 01 November 2003

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More SHeher JFasllija EMathie M(2024)Service Provider Accreditation: Enabling and Enforcing Privacy-by-Design in Credential-based Authentication SystemsProceedings of the 19th International Conference on Availability, Reliability and Security10.1145/3664476.3669934(1-11)Online publication date: 30-Jul-2024
https://dl.acm.org/doi/10.1145/3664476.3669934
Zahid SBristy AOli MFahim MRumee SZaber M(2024)Making EULA Great Again: A Novel Nudge Mechanism to Improve Readability, User Attention and AwarenessInformation Systems Security10.1007/978-3-031-80020-7_20(338-358)Online publication date: 16-Dec-2024
https://dl.acm.org/doi/10.1007/978-3-031-80020-7_20
Zhu PWen LLiu JXue FLou JWang ZRen KOh ANaumann TGloberson ASaenko KHardt MLevine S(2023)CAPP-130Proceedings of the 37th International Conference on Neural Information Processing Systems10.5555/3666122.3668148(46773-46785)Online publication date: 10-Dec-2023
https://dl.acm.org/doi/10.5555/3666122.3668148
Lovato JMueller PSuchdev PDodds P(2023)More Data Types More Problems: A Temporal Analysis of Complexity, Stability, and Sensitivity in Privacy PoliciesProceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency10.1145/3593013.3594065(1088-1100)Online publication date: 12-Jun-2023
https://dl.acm.org/doi/10.1145/3593013.3594065
Rivadeneira JSá Silva JColomo-Palacios RRodrigues ABoavida F(2023)User-centric privacy preserving models for a new era of the Internet of ThingsJournal of Network and Computer Applications10.1016/j.jnca.2023.103695217:COnline publication date: 1-Aug-2023
https://dl.acm.org/doi/10.1016/j.jnca.2023.103695
Hansen MGruschka NJensen M(2023)A Universal Data Model for Data Sharing Under the European Data StrategyPrivacy Technologies and Policy10.1007/978-3-031-61089-9_1(3-19)Online publication date: 1-Jun-2023
https://dl.acm.org/doi/10.1007/978-3-031-61089-9_1
Porcelli LFicco MPalmieri F(2023)Mitigating User Exposure to Dark Patterns in Cookie Banners Through Automated ConsentComputational Science and Its Applications – ICCSA 2023 Workshops10.1007/978-3-031-37108-0_10(145-159)Online publication date: 3-Jul-2023
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Godinho de Matos MAdjerid I(2022)Consumer Consent and Firm Targeting After GDPRManagement Science10.1287/mnsc.2021.405468:5(3330-3378)Online publication date: 1-May-2022
https://dl.acm.org/doi/10.1287/mnsc.2021.4054
Brunotte WChazette LKohler LKlunder JSchneider K(2022)What About My Privacy?Helping Users Understand Online Privacy PoliciesProceedings of the International Conference on Software and System Processes and International Conference on Global Software Engineering10.1145/3529320.3529327(56-65)Online publication date: 19-May-2022
https://dl.acm.org/doi/10.1145/3529320.3529327
Baramashetru CTapia Tarifa SOwe OGruschka N(2022)A Policy Language to Capture Compliance of Data Protection RequirementsIntegrated Formal Methods10.1007/978-3-031-07727-2_16(289-309)Online publication date: 7-Jun-2022
https://dl.acm.org/doi/10.1007/978-3-031-07727-2_16
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