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2002 - CAV

NuSMV 2: An OpenSource Tool for Symbolic Model Checking

This paper describes version 2 of the NuSMV tool. NuSMV is a symbolic model checker originated from the reengineering, reimplementation and extension of SMV, the original BDD-based model checker developed at CMU [15]. The NuSMV project aims at the development of a state-of-the-art symbolic model checker, designed to be applicable in technology transfer projects: it is a well structured, open, flexible and documented platform for model checking, and is robust and close to industrial systems standards [6].

2007 - SPIN

ACSAR: Software Model Checking with Transfinite Refinement

ACSAR (Automatic Checker of Safety properties based on Abstraction Refinement) is a software model checker for C programs in the spirit of Blast [6], F-Soft [7], Magic [5] and Slam [1]. It is based on the counterexample-guided abstraction refinement (CEGAR) paradigm. Its specificity lies in the way it overcomes a problem common to all tools based on this paradigm. The problem arises from creating more and more spurious counterexamples by unfolding the same (while- or for-) loop over and over again; this leads to an infinite or at least too large sequence of refinement steps. The idea behind ACSAR is to abstract not just states but also the state changes induced by structured program statements, including for- and while-statements. The use of the new abstraction allows one to shortcut such a “transfinite” sequence of refinement steps.

2000 - Proceeding 2000 IEEE Symposium on Security and Privacy. S&P 2000

Using model checking to analyze network vulnerabilities

Even well administered networks are vulnerable to attacks due to the security ramifications of offering a variety of combined services. That is, services that are secure when offered in isolation nonetheless provide an attacker with a vulnerability to exploit when offered simultaneously. Many current tools address vulnerabilities in the context of a single host. We address vulnerabilities due to the configuration of various hosts in a network. In a different line of research, formal methods are often useful for generating test cases, and model checkers are particularly adept at this task due to their ability to generate counterexamples. We address the network vulnerabilities problem with test cases, which amount to attack scenarios, generated by a model checker. We encode the vulnerabilities in a state machine description suitable for a model checker and then assert that an attacker cannot acquire a given privilege on a given host. The model checker either offers assurance that the assertion is true on the actual network or provides a counterexample detailing each step of a successful attack.

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