An empirical study of automatic program repair techniques for injection vulnerabilities

• Main Authors: ZHU, Tingwei, XU, Tongtong, LIU, Kui, ZHOU, Jiayuan, HU, Xing, XIA, Xin, ZHANG, Tian, David LO
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2024
• Subjects: Injection vulnerability; automatic program repair; empirical study; Software Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/9888; https://ink.library.smu.edu.sg/context/sis_research/article/10888/viewcontent/956800a025.pdf
• Institution: Singapore Management University

Injection vulnerabilities are among the most serious and dangerous security defects, as they can be exploited by attackers to inject malicious inputs and carry out cybercrimes. Timely fixing of injection vulnerabilities is crucial. However, manual repairs of injection vulnerabilities often require s...