Dataflow Analysis-Inspired Deep Learning for Efficient Vulnerability Detection
收藏figshare.com2024-01-11 更新2025-03-22 收录
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https://figshare.com/articles/dataset/Dataflow_Analysis-Inspired_Deep_Learning_for_Efficient_Vulnerability_Detection/21225413/3
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资源简介:
Data package for "Dataflow Analysis-Inspired Deep Learning for Efficient Vulnerability Detection", published in ICSE 2024, with updates from Artifact Evaluation.Paper link: https://www.computer.org/csdl/proceedings-article/icse/2024/021700a166/1RLIWqviwEMSee Github repo for updates: https://github.com/ISU-PAAL/DeepDFAData dictionary:before.zip: CFGs of Big-Vul dataset, generated by Joern.preprocessed_data.zip: preprocessed data from Big-Vul for running DeepDFA, including preprocessed Joern CFGs and abstract dataflow embeddings.DeepDFA-code.zip: most recent version of the code as of the publication of this artifact, see Github repo for updates: https://github.com/ISU-PAAL/DeepDFAMSR_data_cleaned.csv: original Big-Vul dataset, see original source: https://github.com/ZeoVan/MSR_20_Code_vulnerability_CSV_DatasetMSR_LineVul: LineVul's preprocessed version of the Big-Vul dataset, see original source: https://github.com/awsm-research/LineVulChangelog:v1 2023-09-20: original data package and Github repo published.v2 2024-01-04: added full instructions and bug fixes for Artifact Evaluation.v3 2024-01-10: integrated feedback from Artifact Evaluation.
数据包专为《受数据流分析启发的高效漏洞检测的深度学习》一文提供,该文发表于2024年国际软件工程会议(ICSE),并包含来自工件评估的更新。论文链接:https://www.computer.org/csdl/proceedings-article/icse/2024/021700a166/1RLIWqviwEM
查看Github仓库以获取更新:https://github.com/ISU-PAAL/DeepDFA
数据字典:
before.zip:Big-Vul数据集的控制流图(CFGs),由Joern生成。
preprocessed_data.zip:Big-Vul数据集的预处理数据,用于运行DeepDFA,包括预处理后的Joern CFGs和抽象数据流嵌入。
DeepDFA-code.zip:截至工件发布时最新的代码版本,更新请见Github仓库:https://github.com/ISU-PAAL/DeepDFAMSR_data_cleaned.csv:原始Big-Vul数据集,原始来源请见:https://github.com/ZeoVan/MSR_20_Code_vulnerability_CSV_Dataset
MSR_LineVul:LineVul对Big-Vul数据集的预处理版本,原始来源请见:https://github.com/awsm-research/LineVul
变更日志:
v1 2023-09-20:发布原始数据包及Github仓库。
v2 2024-01-04:为工件评估添加了完整指令和错误修复。
v3 2024-01-10:整合了工件评估的反馈。
提供机构:
figshare



