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» User-controllable learning of security and privacy policies
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AAAI
2011
12 years 6 months ago
User-Controllable Learning of Location Privacy Policies With Gaussian Mixture Models
With smart-phones becoming increasingly commonplace, there has been a subsequent surge in applications that continuously track the location of users. However, serious privacy conc...
Justin Cranshaw, Jonathan Mugan, Norman M. Sadeh
WPES
2004
ACM
14 years 3 hour ago
Specifying privacy policies with P3P and EPAL: lessons learned
As computing becomes more ubiquitous and Internet use continues to rise, it is increasingly important for organizations to construct accurate and effective privacy policies that d...
William H. Stufflebeam, Annie I. Antón, Qin...
CCS
2008
ACM
13 years 8 months ago
User-controllable learning of security and privacy policies
Studies have shown that users have great difficulty specifying their security and privacy policies in a variety of application domains. While machine learning techniques have succ...
Patrick Gage Kelley, Paul Hankes Drielsma, Norman ...
CCS
2009
ACM
14 years 1 months ago
Inferring privacy policies for social networking services
Social networking sites have come under criticism for their poor privacy protection track record. Yet, there is an inherent difficulty in deciding which principals should have acc...
George Danezis
ACSAC
2005
IEEE
14 years 6 days ago
Generating Policies for Defense in Depth
Coordinating multiple overlapping defense mechat differing levels of abstraction, is fraught with the potential for misconfiguration, so there is strong motivation to generate p...
Paul Rubel, Michael Ihde, Steven Harp, Charles Pay...