Cloud computing is very popular because of its unique features such as scalability, elasticity,
on-demand service, and security. A large number of tasks are performed simultaneously in a …

Massive software applications possess complex data structures or parse complex data
structures; in such cases, vulnerabilities in the software become inevitable. The …

Parallel coverage-guided greybox fuzzing is the most common setup for vulnerability
discovery at scale. However, so far it has received little attention from the research …

Fuzzing has been widely adopted as an effective testing technique for detecting software
bugs. Researchers have explored many parallel fuzzing approaches to speed up bug …

Parallel fuzzing relies on hardware resources to guarantee test throughput and efficiency. In
industrial practice, it is well known that parallel fuzzing faces the challenge of task division …

Ensemble fuzzing in parallel with heterogeneous fuzzers has been proposed to leverage the
advantages of diverse fuzzers and improve testing efficiency. However, in current ensemble …

软件脆弱性已成为互联网安全的主要威胁来源, 软件脆弱性分析技术的重要性日益突出.
模糊测试是脆弱性分析的热点技术之一, 通过持续生成测试用例, 动态监控目标代码执行和反馈 …

Taint analysis significantly enhances the capacity of fuzzing to navigate intricate constraints
and delve into the state spaces of the target program. However, practical scenarios involving …

In recent years, fuzzing has become the most popular and effective vulnerability mining
technique due to high degree of automation and versatility. In order to improve the …

Fuzzing is an increasingly popular technique for testing software functionality and identifying
security weaknesses. Recent research has primarily focused on improving the effectiveness …