TY - GEN
T1 - VulPin
T2 - 7th International Conference on Computer Science and Artificial Intelligence, CSAI 2023
AU - Chukkol, Abdulrahman Hamman Adama
AU - Luo, Senlin
AU - Yunusa, Haruna
AU - Yusuf, Abdulganiyu Abdu
AU - Mohammed, Abulfatahi
N1 - Publisher Copyright:
© 2023 ACM.
PY - 2023/12/8
Y1 - 2023/12/8
N2 - 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.
AB - 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.
KW - Binary codes
KW - KEYWORDS Program slice
KW - Neural networks
KW - Vulnerability detection
KW - Vulnerability pinpoint
UR - http://www.scopus.com/inward/record.url?scp=85188332061&partnerID=8YFLogxK
U2 - 10.1145/3638584.3638599
DO - 10.1145/3638584.3638599
M3 - Conference contribution
AN - SCOPUS:85188332061
T3 - ACM International Conference Proceeding Series
SP - 116
EP - 122
BT - CSAI 2023 - 2023 7th International Conference on Computer Science and Artificial Intelligence
PB - Association for Computing Machinery
Y2 - 8 December 2023 through 10 December 2023
ER -