SQL Injection Vulnerability Detection using Deep Learning

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