Hails: Protecting data privacy in untrusted web applications
نویسندگان
چکیده
منابع مشابه
Hails: Protecting Data Privacy in Untrusted Web Applications
Modern extensible web platforms like Facebook and Yammer depend on third-party software to offer a rich experience to their users. Unfortunately, users running a third-party “app” have little control over what it does with their private data. Today’s platforms offer only ad-hoc constraints on app behavior, leaving users an unfortunate trade-off between convenience and privacy. A principled appr...
متن کاملHails: Protecting Data Privacy in Untrusted Web Application
Many modern web platforms are no longer written by a single entity, such as a company or individual, but consist of a trusted core that can be extended by untrusted third-party authors. Examples of this approach include Facebook, Yammer, and Salfesforce. Unfortunately, users running a third-party “app” have little control over what it does with their private data. Today’s platforms offer only a...
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P2P systems are increasingly used for efficient, scalable data sharing. Popular applications focus on massive file sharing. However, advanced applications such as online communities (e.g., medical or research communities) need to share private or sensitive data. Currently, in P2P systems, untrusted peers can easily violate data privacy by using data for malicious purposes (e.g., fraudulence, pr...
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Peking University has several prestigious teaching hospitals in China. To make secondary use of massive medical data for research purposes, construction of a clinical data warehouse is imperative in Peking University. However, a big concern for clinical data warehouse construction is how to protect patient privacy. In this project, we propose to use a combination of symmetric block ciphers, asy...
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ژورنال
عنوان ژورنال: Journal of Computer Security
سال: 2017
ISSN: 1875-8924,0926-227X
DOI: 10.3233/jcs-15801