Taxonomy and Characterization of Structured of Structured Query Language Injection Attacks for Predictive Analytics
Authors:
KUYORO Afolashade
Publication Type: Journal article
Journal: International Journal Of Software & Hardware Research In Engineering
ISSN Number:
0
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Abstract
ABSTRACT Structured Query Language Injection Attacks (SQLIA) from attackers’ exploit have progressively increased the danger of cyber attacks to steal confidential information from the database of vulnerable web application front-ends with potentially damaging security consequences. Several detection methods have been identified for effective mitigation of SQLIA. These detection methods are classification by nature of defense, classification by detection principle, classification by analysis method, classification by detection time, classification by detection location, classification by response, and classification by implementation. The relationship between different attack signatures and patterns were studied to create a taxonomy of SQLIA. This study characterized the SQLIA into eighteen classes for predictive analytics to detect and prevent unauthorized access to the database for stealing confidential information. The analysis of detection and prevention of SQLIA through the taxonomy and characterization into types and classes with order of importance helps in the implementation of various attack mechanism. Thus, reducing the possibilities of new injection points into the database by the attackers.
KUYORO,A. .
(2020). Taxonomy and Characterization of Structured of Structured Query Language Injection Attacks for Predictive Analytics, 8
(), 15-15.
KUYORO,A. .
"Taxonomy and Characterization of Structured of Structured Query Language Injection Attacks for Predictive Analytics" 8, no (), (2020):
15-15.
KUYORO,A. and .
(2020). Taxonomy and Characterization of Structured of Structured Query Language Injection Attacks for Predictive Analytics, 8
(), pp15-15.
KUYOROA, .
Taxonomy and Characterization of Structured of Structured Query Language Injection Attacks for Predictive Analytics. 2020, 8
():15-15.
KUYORO,Afolashade ,
.
"Taxonomy and Characterization of Structured of Structured Query Language Injection Attacks for Predictive Analytics", 8 . (2020) :
15-15.
K.Afolashade ,
"Taxonomy and Characterization of Structured of Structured Query Language Injection Attacks for Predictive Analytics"
vol.8,
no.,
pp. 15-15,
2020.