21,042 research outputs found
A Program Logic for Verifying Secure Routing Protocols
The Internet, as it stands today, is highly vulnerable to attacks. However,
little has been done to understand and verify the formal security guarantees of
proposed secure inter-domain routing protocols, such as Secure BGP (S-BGP). In
this paper, we develop a sound program logic for SANDLog-a declarative
specification language for secure routing protocols for verifying properties of
these protocols. We prove invariant properties of SANDLog programs that run in
an adversarial environment. As a step towards automated verification, we
implement a verification condition generator (VCGen) to automatically extract
proof obligations. VCGen is integrated into a compiler for SANDLog that can
generate executable protocol implementations; and thus, both verification and
empirical evaluation of secure routing protocols can be carried out in this
unified framework. To validate our framework, we encoded several proposed
secure routing mechanisms in SANDLog, verified variants of path authenticity
properties by manually discharging the generated verification conditions in
Coq, and generated executable code based on SANDLog specification and ran the
code in simulation
A Formal Framework for Concrete Reputation Systems
In a reputation-based trust-management system, agents maintain information about the past behaviour of other agents. This information is used to guide future trust-based decisions about interaction. However, while trust management is a component in security decision-making, many existing reputation-based trust-management systems provide no formal security-guarantees. In this extended abstract, we describe a mathematical framework for a class of simple reputation-based systems. In these systems, decisions about interaction are taken based on policies that are exact requirements on agents’ past histories. We present a basic declarative language, based on pure-past linear temporal logic, intended for writing simple policies. While the basic language is reasonably expressive (encoding e.g. Chinese Wall policies) we show how one can extend it with quantification and parameterized events. This allows us to encode other policies known from the literature, e.g., ‘one-out-of-k’. The problem of checking a history with respect to a policy is efficient for the basic language, and tractable for the quantified language when policies do not have too many variables
Model checking probabilistic and stochastic extensions of the pi-calculus
We present an implementation of model checking for probabilistic and stochastic extensions of the pi-calculus, a process algebra which supports modelling of concurrency and mobility. Formal verification techniques for such extensions have clear applications in several domains, including mobile ad-hoc network protocols, probabilistic security protocols and biological pathways. Despite this, no implementation of automated verification exists. Building upon the pi-calculus model checker MMC, we first show an automated procedure for constructing the underlying semantic model of a probabilistic or stochastic pi-calculus process. This can then be verified using existing probabilistic model checkers such as PRISM. Secondly, we demonstrate how for processes of a specific structure a more efficient, compositional approach is applicable, which uses our extension of MMC on each parallel component of the system and then translates the results into a high-level modular description for the PRISM tool. The feasibility of our techniques is demonstrated through a number of case studies from the pi-calculus literature
A Logical Framework for Reputation Systems
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
Classical Knowledge for Quantum Security
We propose a decision procedure for analysing security of quantum
cryptographic protocols, combining a classical algebraic rewrite system for
knowledge with an operational semantics for quantum distributed computing. As a
test case, we use our procedure to reason about security properties of a
recently developed quantum secret sharing protocol that uses graph states. We
analyze three different scenarios based on the safety assumptions of the
classical and quantum channels and discover the path of an attack in the
presence of an adversary. The epistemic analysis that leads to this and similar
types of attacks is purely based on our classical notion of knowledge.Comment: extended abstract, 13 page
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