Be sensitive and collaborative: Analyzing impact of coverage metrics in Greybox fuzzing

• Main Authors: WANG, Jinghan, DUAN, Yue, SONG, Wei, YIN, Heng, SONG, Chengyu
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2019
• Subjects: Computation power; Computing resource; Concolic execution; Coverage metrics; Real-world; Software bug; Systematic study; Vulnerability finding; Information Security
• Online Access: https://ink.library.smu.edu.sg/sis_research/8169; https://ink.library.smu.edu.sg/context/sis_research/article/9172/viewcontent/Be_Sensitive_and_Collaborative_Analyzing_Impact_of_Coverage_Metrics_in_Greybox_Fuzzing.pdf
• Institution: Singapore Management University

Coverage-guided greybox fuzzing has become one of the most common techniques for finding software bugs. Coverage metric, which decides how a fuzzer selects new seeds, is an essential parameter of fuzzing and can significantly affect the results. While there are many existing works on the effectivene...