IACR News item: 08 August 2011
PhD Database
Carmela Troncoso
Design and analysis methods for privacy technologies
applications
As advances in technology increase data processing and storage capabilities, the collection of massive amounts of electronic data raises new challenging privacy concerns. Hence, it is essential that system designers consider privacy requirements and have appropriate tools to analyze the privacy properties offered by new designs. Nevertheless, the privacy community has not yet developed a general methodology that allows engineers to embed privacy-preserving mechanisms in their designs, and test their efficacy. Instead, privacy-preserving solutions are designed and analyzed in an ad hoc manner, and hence it is difficult to compare and combine them in real-world solutions.\r\n \r\nIn this thesis we investigate whether general methodologies for the design and analysis of privacy-preserving systems can be developed. Our goal is to lay down the foundations for a privacy engineering discipline that provides system designers with tools to build robust privacy-preserving systems.\r\n \r\nWe first present a general method to quantify information leaks in any privacy-preserving design that can be modeled probabilistically. This method allows the designer to evaluate the degree of privacy prot[...]
Design and analysis methods for privacy technologies
applications
As advances in technology increase data processing and storage capabilities, the collection of massive amounts of electronic data raises new challenging privacy concerns. Hence, it is essential that system designers consider privacy requirements and have appropriate tools to analyze the privacy properties offered by new designs. Nevertheless, the privacy community has not yet developed a general methodology that allows engineers to embed privacy-preserving mechanisms in their designs, and test their efficacy. Instead, privacy-preserving solutions are designed and analyzed in an ad hoc manner, and hence it is difficult to compare and combine them in real-world solutions.\r\n \r\nIn this thesis we investigate whether general methodologies for the design and analysis of privacy-preserving systems can be developed. Our goal is to lay down the foundations for a privacy engineering discipline that provides system designers with tools to build robust privacy-preserving systems.\r\n \r\nWe first present a general method to quantify information leaks in any privacy-preserving design that can be modeled probabilistically. This method allows the designer to evaluate the degree of privacy prot[...]
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