期刊论文详细信息
Cybersecurity
Fuzzing: a survey
Bodong Zhao1  Jun Li1  Chao Zhang1 
[1] Tsinghua University, Beijing, China
关键词: Vulnerability discovery;    Software security;    Fuzzing;    Coverage-based fuzzing;   
DOI  :  10.1186/s42400-018-0002-y
学科分类:计算机科学(综合)
来源: Springer
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【 摘 要 】

Security vulnerability is one of the root causes of cyber-security threats. To discover vulnerabilities and fix them in advance, researchers have proposed several techniques, among which fuzzing is the most widely used one. In recent years, fuzzing solutions, like AFL, have made great improvements in vulnerability discovery. This paper presents a summary of the recent advances, analyzes how they improve the fuzzing process, and sheds light on future work in fuzzing. Firstly, we discuss the reason why fuzzing is popular, by comparing different commonly used vulnerability discovery techniques. Then we present an overview of fuzzing solutions, and discuss in detail one of the most popular type of fuzzing, i.e., coverage-based fuzzing. Then we present other techniques that could make fuzzing process smarter and more efficient. Finally, we show some applications of fuzzing, and discuss new trends of fuzzing and potential future directions.

【 授权许可】

CC BY   

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