Scyther : semantics and verification of security protocols

TLDR: This thesis develops a formal model for the description and analysis of security protocols at the process level, and develops an automated veri??cation procedure, which improves over existing methods and is applied in two novel case studies.

Abstract: Recent technologies have cleared the way for large scale application of electronic communication. The open and distributed nature of these communications implies that the communication medium is no longer completely controlled by the communicating parties. As a result, there has been an increasing demand for research in establishing secure communications over insecure networks, by means of security protocols. In this thesis, a formal model for the description and analysis of security protocols at the process level is developed. At this level, under the assumption of perfect cryptography, the analysis focusses on detecting aws and vulnerabilities of the security protocol. Starting from ??rst principles, operational semantics are developed to describe security protocols and their behaviour. The resulting model is parameterized, and can e.g. capture various intruder models, ranging from a secure network with no intruder, to the strongest intruder model known in literature. Within the security protocol model various security properties are de??ned, such as secrecy and various forms of authentication. A number of new results about these properties are formulated and proven correct. Based on the model, an automated veri??cation procedure is developed, which signi ??cantly improves over existing methods. The procedure is implemented in a prototype, which outperforms other tools. Both the theory and tool are applied in two novel case studies. Using the tool prototype, new results are established in the area of protocol composition, leading to the discovery of a class of previously undetected attacks. Furthermore, a new protocol in the area of multiparty authentication is developed. The resulting protocol is proven correct within the framework.