A Logical Framework for Reputation Systems

Abstract

Reputation systems are meta systems that record, aggregate and distribute information about the past behaviour of principals in an application. Typically, these applications are large-scale open distributed systems where principals are virtually anonymous, and (a priori) have no knowledge about the trustworthiness of each other. Reputation systems serve two primary purposes: helping principals decide whom to trust, and providing an incentive for principals to well-behave. A logical policy-based framework for reputation systems is presented. In the framework, principals specify policies which state precise requirements on the past behaviour of other principals that must be fulfilled in order for interaction to take place. The framework consists of a formal model of behaviour, based on event structures; a declarative logical language for specifying properties of past behaviour; and efficient dynamic algorithms for checking whether a particular behaviour satisfies a property from the language. It is shown how the framework can be extended in several ways, most notably to encompass parameterized events and quantification over parameters. In an extended application, it is illustrated how the framework can be applied for dynamic history-based access control for safe execution of unknown and untrusted programs