Name
Abstract | ||
|---|---|---|
Aim to the problem that current sequence alignment method used in fuzzing is not efficient in network protocol format analysis of network protocol vulnerability mining system, this paper proposed a new method, applied local sequence alignment algorithm into fuzzing vulnerability mining, it fully combined with the background of network vulnerability mining for in-depth analysis of sequence. In the analysis process of acquiring network protocol format, the efficiency of vulnerability mining is improved. The experiment results proved that this method is superior to the global sequence alignment method in the efficiency of execution. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/CCOMS.2019.8821747 | 2019 IEEE 4th International Conference on Computer and Communication Systems (ICCCS) |
Keywords | DocType | ISBN |
Fuzzing,Sequence Alignment,Network Protocol | Conference | 978-1-7281-1323-4 |
Citations | PageRank | References |
0 | 0.34 | 5 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tiantian Tan | 1 | 0 | 2.03 |
| Baosheng Wang | 2 | 3 | 5.81 |
| Yong Tang | 3 | 27 | 4.33 |
| Xu Zhou | 4 | 221 | 41.36 |