In this paper we propose a formal framework for studying privacy. Our framework is based on the π-calculus with groups accompanied by a type system for capturing privacy-related notions. The typing system we propose combines a number of concepts from the literature: it includes the use of groups to enable reasoning about information collection, it builds on read/write capabilities to control information processing, and it employs type linearity to restrict information dissemination. Furthermore, we associate our framework with a privacy policy language and we prove that if a system is well-typed according to a typing that is compatible with a policy then the system respects the policy
Homomorphic signatures are primitives that allow for public computations on authenticated data. At T...
Abstract. We develop a language-based approach for modeling and verifying aspects of privacy policie...
There is often a misalignment between requirements for keeping data owners' information private and ...
In this paper we propose a formal framework for studying privacy. Our framework is based on the π-ca...
In this paper we propose a formal framework for studying privacy ininformation systems. The proposal...
Formally specifying privacy goals is not trivial. The most widely used approach in formal methods is...
We want assurances that sensitive information will not be disclosed when aggregate data derived from...
Abstract. Formally specifying privacy goals is not trivial. The most widely used approach in formal ...
Ubiquitous computing systems collect and share a great deal of information upon the users and their ...
We add an operation of group creation to the typed π-calculus, where a group is a type for channels....
Ubiquitous computing systems collect and share a great deal of information upon the users and their ...
Web of Linked Data introduces common format and principles for publishing and linking data on the We...
International audienceSecurity properties of cryptographic protocols are typically expressed as reac...
There is now an incredible wealth of data about individuals, businesses and organisations. This data...
Abstract. Enterprise privacy enforcement allows enterprises to internally enforce a privacy policy t...
Homomorphic signatures are primitives that allow for public computations on authenticated data. At T...
Abstract. We develop a language-based approach for modeling and verifying aspects of privacy policie...
There is often a misalignment between requirements for keeping data owners' information private and ...
In this paper we propose a formal framework for studying privacy. Our framework is based on the π-ca...
In this paper we propose a formal framework for studying privacy ininformation systems. The proposal...
Formally specifying privacy goals is not trivial. The most widely used approach in formal methods is...
We want assurances that sensitive information will not be disclosed when aggregate data derived from...
Abstract. Formally specifying privacy goals is not trivial. The most widely used approach in formal ...
Ubiquitous computing systems collect and share a great deal of information upon the users and their ...
We add an operation of group creation to the typed π-calculus, where a group is a type for channels....
Ubiquitous computing systems collect and share a great deal of information upon the users and their ...
Web of Linked Data introduces common format and principles for publishing and linking data on the We...
International audienceSecurity properties of cryptographic protocols are typically expressed as reac...
There is now an incredible wealth of data about individuals, businesses and organisations. This data...
Abstract. Enterprise privacy enforcement allows enterprises to internally enforce a privacy policy t...
Homomorphic signatures are primitives that allow for public computations on authenticated data. At T...
Abstract. We develop a language-based approach for modeling and verifying aspects of privacy policie...
There is often a misalignment between requirements for keeping data owners' information private and ...