dc.contributor.author |
Mahamud, Hussain |
|
dc.date.accessioned |
2019-10-20T10:22:19Z |
|
dc.date.available |
2019-10-20T10:22:19Z |
|
dc.date.issued |
2019-05-05 |
|
dc.identifier.uri |
http://hdl.handle.net/123456789/3524 |
|
dc.description.abstract |
In the time of the digital revolution, the reliance on computers is expanded exponentially
additionally because of the smartphones the dependence upon the web application is
likewise extended. Computer Systems are under various attacks to pilfer confidential
information. With the raising use of the internet, the use of web applications has likewise
expanded. It creates a virtual world where the data is the most valuable asset. That’s why
different attacks happen on the web to breach data. Structured Query Language (SQL)
Injection Attack is one of the major data indemnity contraventions on the web. In SQL
Injection Attack, an aggressor traces out the vulnerability of a web application and
exploits the vulnerability by executing a malicious statement to pilfer secret information
from the database with potentially damaging consequences. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
Daffodil International University |
en_US |
dc.subject |
Web applications |
en_US |
dc.subject |
Computer program language |
en_US |
dc.subject |
Electronic data processing |
en_US |
dc.title |
A Multilevel Classifier Approach for SQL Injection Vulnerability Detection in Web Applications |
en_US |
dc.type |
Thesis |
en_US |