Privacy Enhancing Technologies: 9th International Symposium, by Ramprasad Ravichandran, Michael Benisch, Patrick Gage

By Ramprasad Ravichandran, Michael Benisch, Patrick Gage Kelley, Norman M. Sadeh (auth.), Ian Goldberg, Mikhail J. Atallah (eds.)

This publication constitutes the refereed complaints of the ninth foreign Symposium on privateness bettering applied sciences, PETS 2009, held in Seattle, WA, united states, in August 2009.

The 14 revised complete papers offered have been rigorously reviewed and chosen from forty four preliminary submissions. The papers - either from academia and - disguise layout and recognition of privateness providers for the web and different conversation networks and current novel learn on all theoretical and sensible features of privateness applied sciences, in addition to experimental stories of fielded systems.

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Additional info for Privacy Enhancing Technologies: 9th International Symposium, PETS 2009, Seattle, WA, USA, August 5-7, 2009. Proceedings

Sample text

Mobile users should be notified if the content of this policy is altered. In addition, opt-in consent must be obtained before a 26 H. W. R. Melonas user’s PII may be shared with third parties or before location-based information may be used. Advertisers should implement a reasonable mechanism to allow for the correction of inaccurate data. Providers should also take appropriate steps to ensure that all PII is accurate. Under these guidelines, reasonable security measures should be implemented. Finally, an efficient reporting and complaint mechanism should be implemented.

We expected that more readable natural language policies would have higher accuracy scores, lower times, and improved psychological acceptability than less readable policies, but that was not the case. These results could suggest that readability metrics are not a good way to differentiate between policies. This seems unlikely because the Flesch index has proven robust in many contexts and we do not immediately see any reason why privacy policies should be dramatically different from other types of textual analysis.

This research analyzes privacy issues pertaining to wireless advertising messaging (WAM). In this article, WAM is provisionally defined as advertising messages sent to wireless devices such as cellular telephones, personal data assistants (PDAs) and smart phones. Fair information practice principles (FIPP), the global standards for the ethical use of personal information, are generally recognized as a standard that addresses consumer privacy risk perceptions. Prior privacy literature describes three approaches to implement FIPP: industry self-regulation, government regulation and privacyenhancing technologies [15, 19].

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