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ZENODO
Article . 2018
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2018
License: CC BY
Data sources: Datacite
ZENODO
Article . 2018
License: CC BY
Data sources: Datacite
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A Novel Technique for Preventing the SQL Injection Vulnerabilities

Authors: Sugandhi Maheshwaram;

A Novel Technique for Preventing the SQL Injection Vulnerabilities

Abstract

ABSTRACTWeb applications have turned into an indispensable piece of the day by day lives of a great many clients. Sadly, web applications are additionally habitually focused by assailants, and critical vulnerabilities, for example, XSS and SQL infusion are as yet normal. As a result, much exertion in the previous decade has been spent on mitigating web application vulnerabilities. Current systems center for the most part around disinfection: either on computerized sterilization, the location of missing sanitizers, the rightness of sanitizers, or the right situation of sanitizers. In any case, these procedures are either not ready to avert new types of info approval vulnerabilities, for example, HTTP Parameter Pollution, accompany huge runtime overhead, need accuracy, or require noteworthy alterations to the customer as well as server infrastructure. In this paper, we introduce IPAAS, a novel procedure for keeping the abuse of XSS and SQL infusion vulnerabilities in view of computerized information compose location of info parameters. IPAAS consequently and straightforwardly expands generally shaky web application improvement conditions within put validators that result in significant and tangible security improvements for real systems. We implemented IPAAS for PHP and assessed it on five genuine web applications with known XSS and SQL infusion vulnerabilities. Our assessment exhibits that IPAAS would have forestalled 83% of SQL infusion vulnerabilities and 65% of XSS vulnerabilities while causing no developer burden.Keywords: SQL Injection, Security and Privacy. 

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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!
0
Average
Average
Average
Green