Paper Title

Security Challenges in Web Development: Analyzing Common Security Vulnerabilities in Web Applications

Authors

Sahil Beniwal , Sayyad Sinwan Awez , Supriya Shukla , Amisha Jaiswal , Ms. Ragini Kushwaha

Keywords

Web application, Security, Vulnerabilities, SQL Injection (SQLi), Cross-Site Scripting (XSS), and Cross-Site Request Forgery (CSRF), Threat Mitigation, Development Lifecycle.

Abstract

Web applications are becoming more indispensable across various industries, serving as essential platforms for communication, but they also face major security risks. Common Vulnerabilities like SQL Injection, Cross-Site Scripting (XSS), and Cross-Site Request Forgery (CSRF) frequently result in sensitive data breaches. Although modern web development frameworks like Django, Laravel, and Spring Boot offer built-in security features, developers often use manual protection methods that can lead to additional vulnerabilities. This paper analyzes these common vulnerabilities and evaluates the security features of various web development frameworks. The research aims to provide actionable recommendations for improving web application security through a comparative analysis of frameworks and tools.

How To Cite

"Security Challenges in Web Development: Analyzing Common Security Vulnerabilities in Web Applications", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 10, page no.b652-b656, October-2024, Available :https://ijnrd.org/papers/IJNRD2410173.pdf

Issue

Volume 9 Issue 10, October-2024

Pages : b652-b656

Other Publication Details

Paper Reg. ID: IJNRD_301251

Published Paper Id: IJNRD2410173

Downloads: 00045

Research Area: Science and Technology

Country: Raipur, Chhattisgarh, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2410173

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2410173

About Publisher

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

Publisher: IJNRD (IJ Publication) Janvi Wave

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