VulPin: Finer-Grained Slicing for Pinpointing Vulnerability in Binary Programs: Precision in Vulnerability Detection: Advanced Slicing Techniques for Binary Program Analysis

Abdulrahman Hamman Adama Chukkol*, Senlin Luo, Haruna Yunusa, Abdulganiyu Abdu Yusuf, Abulfatahi Mohammed

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Identifying vulnerabilities in binary code with precision is a critical area of study in the field of software security. Most existing techniques fail to pinpoint the vulnerability's exact location, due to the extensive labelled data requirement and lack of targeted approach to improve on the problematic code. In this paper, we introduce VulPin, a system specifically designed to pinpoint vulnerabilities in binary code. This framework uses a hierarchical attention network that analyze program slices along with a vulnerability position matrix. Experimental outcomes indicate that our framework not only outperforms existing approaches but also pinpoints vulnerabilities more rapidly with a high Accuracy and a very low rate of false positives.

源语言英语
主期刊名CSAI 2023 - 2023 7th International Conference on Computer Science and Artificial Intelligence
出版商Association for Computing Machinery
116-122
页数7
ISBN(电子版)9798400708688
DOI
出版状态已出版 - 8 12月 2023
活动7th International Conference on Computer Science and Artificial Intelligence, CSAI 2023 - Beijing, 中国
期限: 8 12月 202310 12月 2023

出版系列

姓名ACM International Conference Proceeding Series

会议

会议7th International Conference on Computer Science and Artificial Intelligence, CSAI 2023
国家/地区中国
Beijing
时期8/12/2310/12/23

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