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Enhanced Approach to Detection of SQL Injection Attack

Authors: Raja Prasad Karuparthi; Bing Zhou 0002;

Enhanced Approach to Detection of SQL Injection Attack

Abstract

In recent years, many financial sectors are evolving with huge numbers of web applications, which plays a crucial role in organizations to make important decisions. Considering this, the data has to be secured in order to prevent it from any attacks which lead to a huge loss. One of the topmost attacks in the database is SQL injection attack, is injecting some malicious query into the database causing serious threats. This paper proposes an enhanced approach to dynamic query matching technique by imposing a sanitizer for quick and easy detection of attack.

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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
7
Top 10%
Top 10%
Average
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