Call for Papers:Vol.11 Issue.5

Submission
Last date		 28-Oct-2025
Acceptance Status In One Day
Paper Publish In Two Days
Submit ManuScript

News & Updates

Submit Article

Dear Authors, Article publish in our journal for Volume-11,Issue-5. For article submission on below link: Submit Manuscript


Join As Board

Dear Reviewer, You can join our Reviewer team without given any charges in our journal. Submit Details on below link: Join As Board


Paper Publication Charges

IJARIIE APP
Download Android App

For Authors

Archives

IJARIIE Board

Downloads

Android App

Download IJARIIE APP

Authors

Title: :  MITIGATION AGAINST CROSS SITE SCRIPTING (XSS) ATTACK – A SURVEY
PaperId: :  11520
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 6 Issue 2 2020
DUI:    16.0415/IJARIIE-11520
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Laxman KhokharMarwadi University
Snehal SathwaraMarwadi University

Abstract

Computer Engineering (Cyber Security)
XSS vulnerability, Exploitation, Web Application Firewall, Modsecurity.
As we know the most of web applications are used by an organizations to grow their business. The security of web application is most essential concern for the continuous business without interruption of any cyber attack. The Cross Site Scripting often known as XSS attack is common injection vulnerability which is also specified in OWASP (Open Web Application Security Project) Top 10 Web Application Risk in 2010, 2013, 2017. By exploiting the Cross Site Scripting vulnerability, an attacker may capture sessions of users and also able to change, view and delete the web application data, execute the malicious script over the web application, and manipulate the victim to attack other targeted servers. This paper describes the types of Cross Site Scripting and demonstrate the exploitation of the Cross Site Scripting vulnerability on DVWA (Damn Vulnerable Web App) website. Also, the paper include a mechanism to apply the security against Cross Site Scripting vulnerabilities by implementing the Web Application Firewall (WAF) such as Modsecurity. We can deploy Web Application Firewall (WAF) to safeguard web applications. It protect the web applications from various types of attacks such as cross-site-scripting, SQL injection, and cross-site request forgery etc. A Web Application Firewall is providing the security against various vulnerabilities on OSI (Open Systems Interconnection) Layer 7 which is Application Layer. This firewall will work effectively when it is configured with proper rules. By writing the strong custom rules, it ensures the Web Application Firewall (WAF) correctly detects attacks and also block them if any rule violated or takes appropriate action.

Citations

Copy and paste a formatted citation or use one of the links to import into a bibliography manager and reference.

IJARIIE Laxman Khokhar, and Snehal Sathwara. "MITIGATION AGAINST CROSS SITE SCRIPTING (XSS) ATTACK – A SURVEY" International Journal Of Advance Research And Innovative Ideas In Education Volume 6 Issue 2 2020 Page 194-199
MLA Laxman Khokhar, and Snehal Sathwara. "MITIGATION AGAINST CROSS SITE SCRIPTING (XSS) ATTACK – A SURVEY." International Journal Of Advance Research And Innovative Ideas In Education 6.2(2020) : 194-199.
APA Laxman Khokhar, & Snehal Sathwara. (2020). MITIGATION AGAINST CROSS SITE SCRIPTING (XSS) ATTACK – A SURVEY. International Journal Of Advance Research And Innovative Ideas In Education, 6(2), 194-199.
Chicago Laxman Khokhar, and Snehal Sathwara. "MITIGATION AGAINST CROSS SITE SCRIPTING (XSS) ATTACK – A SURVEY." International Journal Of Advance Research And Innovative Ideas In Education 6, no. 2 (2020) : 194-199.
Oxford Laxman Khokhar, and Snehal Sathwara. 'MITIGATION AGAINST CROSS SITE SCRIPTING (XSS) ATTACK – A SURVEY', International Journal Of Advance Research And Innovative Ideas In Education, vol. 6, no. 2, 2020, p. 194-199. Available from IJARIIE, http://ijariie.com/AdminUploadPdf/MITIGATION_AGAINST_CROSS_SITE_SCRIPTING__XSS__ATTACK_–_A_SURVEY_ijariie11520.pdf (Accessed : ).
Harvard Laxman Khokhar, and Snehal Sathwara. (2020) 'MITIGATION AGAINST CROSS SITE SCRIPTING (XSS) ATTACK – A SURVEY', International Journal Of Advance Research And Innovative Ideas In Education, 6(2), pp. 194-199IJARIIE [Online]. Available at: http://ijariie.com/AdminUploadPdf/MITIGATION_AGAINST_CROSS_SITE_SCRIPTING__XSS__ATTACK_–_A_SURVEY_ijariie11520.pdf (Accessed : )
IEEE Laxman Khokhar, and Snehal Sathwara, "MITIGATION AGAINST CROSS SITE SCRIPTING (XSS) ATTACK – A SURVEY," International Journal Of Advance Research And Innovative Ideas In Education, vol. 6, no. 2, pp. 194-199, Mar-App 2020. [Online]. Available: http://ijariie.com/AdminUploadPdf/MITIGATION_AGAINST_CROSS_SITE_SCRIPTING__XSS__ATTACK_–_A_SURVEY_ijariie11520.pdf [Accessed : ].
Turabian Laxman Khokhar, and Snehal Sathwara. "MITIGATION AGAINST CROSS SITE SCRIPTING (XSS) ATTACK – A SURVEY." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 6 number 2 ().
Vancouver Laxman Khokhar, and Snehal Sathwara. MITIGATION AGAINST CROSS SITE SCRIPTING (XSS) ATTACK – A SURVEY. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2020 [Cited : ]; 6(2) : 194-199. Available from: http://ijariie.com/AdminUploadPdf/MITIGATION_AGAINST_CROSS_SITE_SCRIPTING__XSS__ATTACK_–_A_SURVEY_ijariie11520.pdf
BibTex EndNote RefMan RefWorks

Number Of Downloads



Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
Block-Chain Based Document Verification System using IPFSComputer EngineeringAkash Santosh Devade Download
A COMPREHENSIVE REVIEW OF DUAL FEATURE-BASED INTRUSION DETECTION SYSTEM FOR IoT NETWORK SECURITYComputer Science and EngineeringShrinidhi Hegde Download
A Deep Learning Framework for Mood-Based Music Recommendation via Facial Expression AnalysisComputer Vaibhav Ashok Bhangare Download
GREEN NETWORKING: ENERGY-EFFICIENT PROTOCOLS AND SUSTAINABLE NETWORK DESIGN: A COMPREHENSIVE REVIEWComputer Science and EngineeringPradeep Nayak Download
DIABETIC RETINOPATHY DETECTION USING MACHINE LEARNINGComputer EngineeringSiddharth Shukracharya Rokade Download
PERSONALITY PREDICTION USING MLComputer EngineeringTanvi Dashrath Bhagat Download
Crop Disease Detectioncomputer Mansi Sunil Sansare Download
NEXT-GEN PLANT DISEASE DIAGNOSIS WITH GEN-AI AND DEEP LEARNINGComputer ScienceGuruprasad K Download
GEN-AI POWERED PIGEON PEA LEAF-DISEASE DETECTION USING DEEP-LEARNING AND COMPUTER-VISIONComputer ScienceRajshekar G Download
GEN-AI POWERED LIVER-DISEASE DETECTION USING DEEP-LEARNING AND COMPUTER-VISIONComputer ScienceDhananjay M Download
Fake Review Detection on Amazon Dataset Using Classification TechniquesMachine LearningVishwajeet Kumar Download
Securing mobile networks:Identifying hijacking in opportunistic scenariosComputer engineeringKiran D Hosagoudar Download
The integration of artificial intelligence in web developmentComputer EngineeringRashmi M R Download
Intelligent Health Diagnosis Techniques Exploiting Automatic Ontology Generation and Web-Based Personal Health Record ServicesComputer ScienceMd Nafis Alam Download
Intelligent Allocation of Urban Parking Spaces Using Computational Learning Modelscomputer ApplicationMANOJ H N Download
12