Integrity policies and cryptographic protocols have much in common. They allow for a number of participating principals, and consist of sets of rules controlling the actions that principals should or should not perform. They are intended to uphold various security properties, the crucial ones being integrity, con¯dentiality and authentication. This paper takes a uni¯ed view to the analysis of integrity policies and cryptographic protocols: they are artifacts that must be designed to be su±ciently robust to attack given an understood threat model. For example, integrity policy rules provide resilience to the threat of internal fraud, while cryptographic protocols provide resilience to the threat of replay and related attacks. The framework is modelled using (soft) constraints and analysis corresponds to the soft constraint satisfaction problem. Soft constraints facilitate a quantitative approach to analyzing integrity, con¯dentiality and authentication. Examples will be given: an integrity policy may achieve different levels of integrity under different circumstances; a protocol message may enjoy different levels of con¯dentiality for different principals; a principal can achieve different levels of authentication with different principals.
Soft Constraints for Security
Bistarelli S;
2006
Abstract
Integrity policies and cryptographic protocols have much in common. They allow for a number of participating principals, and consist of sets of rules controlling the actions that principals should or should not perform. They are intended to uphold various security properties, the crucial ones being integrity, con¯dentiality and authentication. This paper takes a uni¯ed view to the analysis of integrity policies and cryptographic protocols: they are artifacts that must be designed to be su±ciently robust to attack given an understood threat model. For example, integrity policy rules provide resilience to the threat of internal fraud, while cryptographic protocols provide resilience to the threat of replay and related attacks. The framework is modelled using (soft) constraints and analysis corresponds to the soft constraint satisfaction problem. Soft constraints facilitate a quantitative approach to analyzing integrity, con¯dentiality and authentication. Examples will be given: an integrity policy may achieve different levels of integrity under different circumstances; a protocol message may enjoy different levels of con¯dentiality for different principals; a principal can achieve different levels of authentication with different principals.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.