IJNRD Research Journal

Click Here

WhatsApp editor@ijnrd.org
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)

Call For Paper

For Authors

Forms / Download

Published Issue Details

Editorial Board

Other IMP Links

Facts & Figure

Impact Factor : 8.76

Issue per Year : 12

Volume Published : 8

Issue Published : 88

Article Submitted : 26375

Article Published : 7533

Total Authors : 19032

Total Reviewer : 980

Total Countries : 150

Indexing Partner

Join RMS/Earn 300


This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Published Paper Details
Paper Title: SQL Injection Vulnerabilities Prevention through ML IPAAS Architecture
Authors Name: Vivek Thoutam
Download E-Certificate: Download
Author Reg. ID:
Published Paper Id: IJNRD2203104
Published In: Volume 7 Issue 3, March-2022
Abstract: XSS and SQL infusion vulnerabilities both show at a crucial level as an inability to safeguard the honesty of HTML reports and SQL inquiries, individually, within the sight of untrusted contribution to the web application. In the former case,an XSS vulnerability allows an attacker to inject dangerous HTML components, regularly including noxious customer side code that executes in the security setting of a confided in web root. In the last case, a SQL infusion injec-tion defenselessness enables an assailant to adjust a current database question — or, now and again, to infuse a totally new one — so that damages the web application's coveted information uprightness or classification strategies. 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 developerburden. This paper provides the SQL injection vulnerabilities prevention through ML IPAAS architecture.
Keywords: Machine Learning, SQL, architecture
Cite Article: "SQL Injection Vulnerabilities Prevention through ML IPAAS Architecture", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.7, Issue 3, page no.832-837, March-2022, Available :http://www.ijnrd.org/papers/IJNRD2203104.pdf
Downloads: 000114656
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID:IJNRD2203104
Registration ID: 180770
Published In: Volume 7 Issue 3, March-2022
DOI (Digital Object Identifier):
Page No: 832-837
Country: -, -, -
Research Area: Engineering
Publisher : IJ Publication
Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2203104
Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2203104
Share Article:

Click Here to Download This Article

Article Preview
Click Here to Download This Article

Major Indexing from www.ijnrd.org
Semantic Scholar Microsaoft Academic ORCID Zenodo
Google Scholar ResearcherID Thomson Reuters Mendeley : reference manager Academia.edu
arXiv.org : cornell university library Research Gate CiteSeerX PUBLON
DRJI SSRN Scribd DocStoc

ISSN Details

ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
Journal Starting Year (ESTD) : 2016

DOI (A digital object identifier)

Providing A digital object identifier by DOI
How to Get DOI? DOI


Open Access License Policy

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License

Creative Commons License This material is Open Knowledge This material is Open Data This material is Open Content

Important Details

Social Media


This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License

Join RMS/Earn 300