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- W2045759747 abstract "We propose a game theoretical model for fuzz testing, consisting in generating unexpected input to search for software vulnerabilities. As of today, no performance guarantees or assessment frameworks for fizzing exist. Our paper addresses these issues and describes a simple model that can be used to assess and identify optimal fizzing strategies, by leveraging game theory. In this context, payoff functions are obtained using a tainted data analysis and instrumentation of a target application to assess the impact of different fizzing strategies." @default.
- W2045759747 created "2016-06-24" @default.
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- W2045759747 date "2010-09-01" @default.
- W2045759747 modified "2023-10-16" @default.
- W2045759747 title "Improving Fuzz Testing Using Game Theory" @default.
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- W2045759747 doi "https://doi.org/10.1109/nss.2010.81" @default.
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