dc.contributor.author | Ghosh, Tonmoy | |
dc.date.accessioned | 2019-10-16T11:27:41Z | |
dc.date.available | 2019-10-16T11:27:41Z | |
dc.date.issued | 2019-05-24 | |
dc.identifier.uri | http://hdl.handle.net/123456789/3507 | |
dc.description.abstract | Application of SQL injection poses a serious security threat to the database driven web applications. By this injection attack someone can easily steal the potential sensitive information and have access to the application's underlying database. A hacker can access the content of the database by specifically designed input. This can bring harm to personal or private wealth. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Daffodil International University | en_US |
dc.subject | Computer Science | en_US |
dc.subject | Programming Language | en_US |
dc.title | SQL Injection Vulnerability Detection using Deep Learning | en_US |
dc.title.alternative | A Web Feature Based Approach | en_US |
dc.type | Thesis | en_US |