$\mu$ μ VulDeePecker: A Deep Learning-Based System for Multiclass Vulnerability Detection

IEEE Transactions on Dependable and Secure Computing(2021)

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摘要
Fine-grained software vulnerability detection is an important and challenging problem. Ideally, a detection system (or detector) not only should be able to detect whether or not a program contains vulnerabilities, but also should be able to pinpoint the type of a vulnerability in question. Existing vulnerability detection methods based on deep learning can detect the presence of vulnerabilities (i...
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关键词
Deep learning,Neural networks,Technological innovation,Software,Feature extraction,Big Data
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