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- W2593765440 abstract "With the increasingly rich of vulnerability related data and the extensive application of machine learning methods, software vulnerability analysis methods based on machine learning is becoming an important research area of information security. In this paper, the up-to-date and well-known works in this research area were analyzed deeply. A framework for software vulnerability analysis based on machine learning was proposed. And the existing works were described and compared, the limitations of these works were discussed. The future research directions on software vulnerability analysis based on machine learning were put forward in the end." @default.
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- W2593765440 date "2016-06-01" @default.
- W2593765440 modified "2023-09-27" @default.
- W2593765440 title "Survey on Software Vulnerability Analysis Method Based on Machine Learning" @default.
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- W2593765440 doi "https://doi.org/10.1109/dsc.2016.33" @default.
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