Name
Abstract | ||
|---|---|---|
Buffer overflow (BOF) vulnerabilities when present in code can be exploited to violate security objectives such as availability, confidentiality and integrity. They make up substantial portion of input manipulation attacks due to their common presence and ease of exploitation. In this study, the authors propose a hybrid approach combining static and dynamic program analysis with machine learning t... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1049/iet-sen.2014.0185 | IET Software |
Keywords | DocType | Volume |
auditing,buffer storage,data mining,learning (artificial intelligence),program debugging,program diagnostics,security of data | Journal | 10 |
Issue | ISSN | Citations |
2 | 1751-8806 | 2 |
PageRank | References | Authors |
0.44 | 0 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bindu Madhavi Padmanabhuni | 1 | 4 | 0.83 |
| Hee Beng Kuan Tan | 2 | 489 | 45.05 |