Detection and prevention of SQLI attacks and developing compressive framework using machine learning and hybrid techniques
Crossref DOI link: https://doi.org/10.1186/s40537-022-00678-0
Published Online: 2022-12-30
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Demilie, Wubetu Barud
Deriba, Fitsum Gizachew
Text and Data Mining valid from 2022-12-30
Version of Record valid from 2022-12-30
Article History
Received: 2 February 2022
Accepted: 25 December 2022
First Online: 30 December 2022
Declarations
:
: Not applicable.
: The authors declare that no competing interest.