Name
Abstract | ||
|---|---|---|
Fuzzing is one of the most effective vulnerability detection techniques, widely used in practice. However, the performance of fuzzers may be limited by their inability to pass complicated checks, inappropriate mutation frequency, arbitrary mutation strategy, or the variability of the environment. In this article, we present DeepFuzzer, an enhanced greybox fuzzer with qualified seed generation, bal... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TDSC.2019.2961339 | IEEE Transactions on Dependable and Secure Computing |
Keywords | DocType | Volume |
Fuzzing,Middleware,Internet,Complexity theory,Task analysis,Space exploration,Instruments | Journal | 18 |
Issue | ISSN | Citations |
6 | 1545-5971 | 1 |
PageRank | References | Authors |
0.37 | 14 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jie Liang | 1 | 38 | 7.73 |
| Yu Jiang | 2 | 346 | 56.49 |
| Mingzhe Wang | 3 | 46 | 8.23 |
| Xun Jiao | 4 | 7 | 6.32 |
| Yuanliang Chen | 5 | 32 | 3.87 |
| Houbing Song | 6 | 1771 | 172.26 |
| Kim-Kwang Raymond Choo | 7 | 4103 | 362.49 |