Name
Title | ||
|---|---|---|
AVDHRAM: Automated Vulnerability Detection based on Hierarchical Representation and Attention Mechanism |
Abstract | ||
|---|---|---|
Vulnerability detection is imperative to protect software systems from cyber attacks. However, existing methods either rely on experts to directly define vulnerability patterns or define vulnerability features and then use machine learning methods to generate vulnerability patterns automatically. It is not only a laborious task but will miss many vulnerabilities and incur a high false-positive rat... |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/ISPA-BDCloud-SocialCom-SustainCom51426.2020.00068 | 2020 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom) |
Keywords | DocType | ISBN |
Deep learning,Measurement,Visualization,Systematics,Neural networks,Tools,Software systems | Conference | 978-1-6654-1485-2 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wenyan An | 1 | 0 | 0.34 |
| Liwei Chen | 2 | 0 | 1.01 |
| Jinxin Wang | 3 | 0 | 0.34 |
| Gewangzi Du | 4 | 0 | 1.69 |
| Gang Shi | 5 | 2 | 1.76 |
| Dan Meng | 6 | 0 | 0.68 |