منابع مشابه
The Relationship Between Reasoning About Privacy and Default Logics
There is now an incredible wealth of data about individuals, businesses and organizations. This data is freely available over the Internet to almost anyone willing to pay for it, independently of whether they are identity thieves or credit card scam artists or legitimate users. This has led to a growing need for privacy. In this paper, we first present a simple logical model of privacy. We then...
متن کاملPrivacy Preservation Using Multi-context Systems and Default Logic
Preserving the privacy of sensitive data is one of the major challenges the information society has to face. Traditional approaches focused on infrastructures for identifying data which is to be kept private and for managing access rights to these data. However, although these efforts are useful, they do not address an important aspect: While the sensitive data itself can be protected nicely us...
متن کاملWhat Should Default Reasoning Be, by Default?
This is a position paper concerning the role of empirical studies of human default reasoning in the formalization of AI theories of default reasoning. We note that AI motivates its theoretical enterprise by reference to human skill at default reasoning, but that the actual research does not make any use of this sort of information and instead relies on intuitions of individual investigators. We...
متن کاملUnderstandable Learning of Privacy Preferences Through Default Personas and Suggestions
As mobile and social networking applications continue to proliferate, they also increasingly rely on the collection of an ever wider range of contextual attributes, location being a prime example. Prior work has shown that people’s privacy preferences when it comes to sharing this information are often complex and that expecting users to spend the time necessary to tediously specify these prefe...
متن کاملExploring the Impact of Restrictive Default Privacy Settings on the Privacy Calculus on Social Network sites
Research about self-disclosure on social network sites (SNS) is based on the assumption that all entered personal information is publicly available by default. Literature lacks empirical insights on how restrictive default privacy settings influence the privacy calculus and the self-disclosure on SNS. To gain empirical insight we analyzed how the perception of users regarding the benefits and p...
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ژورنال
عنوان ژورنال: Journal of Information Processing and Management
سال: 2014
ISSN: 1347-1597,0021-7298
DOI: 10.1241/johokanri.57.678