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- W4385691567 abstract "Research on existing vulnerability detection methods concluded that the traditional static analysis detection vulnerability methods have serious over-pollution problems. A scheme that uses sparse value flow graphs to reduce the false alarm rate is designed and implemented. A static univariate assignment form is introduced to the control flow graph, and a sparse program analysis is performed to obtain the sparse value flow graph. Then a scientific taint analysis rule is introduced to the sparse value flow graph for taint analysis to obtain the contamination propagation path. By experimenting with the traditional static analyzer, the coverage rate is about 90% and the false alarm rate is reduced by about 10%, proving that the method can indeed reduce the high false alarm problem of existing vulnerability detection methods" @default.
- W4385691567 created "2023-08-10" @default.
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- W4385691567 date "2023-06-16" @default.
- W4385691567 modified "2023-09-27" @default.
- W4385691567 title "A vulnerability detection method based on sparse value flow graphs" @default.
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- W4385691567 doi "https://doi.org/10.1145/3605801.3605803" @default.
- W4385691567 hasPublicationYear "2023" @default.
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