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- W4372049114 abstract "SQL Injection Attacks generally target the information stored in the database. Therefore, it becomes necessary for administrators to have mechanisms installed to detect and prevent them. Several mechanisms have been proposed for the same. In this paper, we have chosen some models proposing several SQLI detection and prevention systems, analyzed them and formed an overall comparative analysis of all of them, choosing one that we ascertain comparatively more optimal." @default.
- W4372049114 created "2023-05-07" @default.
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- W4372049114 date "2023-03-03" @default.
- W4372049114 modified "2023-10-14" @default.
- W4372049114 title "SQL Injection Attacks and Prevention" @default.
- W4372049114 doi "https://doi.org/10.1109/iscon57294.2023.10112156" @default.
- W4372049114 hasPublicationYear "2023" @default.
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