Call for Papers:Vol.11 Issue.3

Submission
Last date		 28-Jun-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-3. 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, https://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: https://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: https://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: https://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
NEXT-GENERATION FIREWALLS: ADVANCING NETWORK SECURITY TO COMBAT EVOLVING AND SOPHISTICATED CYBER THREATSSecurity Network EngineerVenkata Surya Teja Gollapalli Download
Swarm Intelligence-Driven Adaptive Scheduling with Fuzzy Logic-Based Real-Time Optimization for Smart HospitalsComputer ScienceVisrutatma Rao Vallu Download
Enhancing E-Commerce Transaction Security with Big Data Analytics in Cloud ComputingCloud ComputingRajani Priya Nippatla Download
AI-Assisted Fabrication of Functionalized Nanoparticles for Infectious Disease Treatmentmachine learningNandan Kumar Download
Deep Neural Networks for Enhancing Nanoparticle Drug Release Kineticsmachine learningPavan Gowda Download
Multiscale Modelling of Nano-Drug Interactions Using Artificial Intelligencemachine learningSandhya. S Download
AI-Powered Control Systems for Nanobots in Microbial Infection Zonesmachine learningPavan T.K Download
AI-Driven Discovery of Nanostructures That Disrupt Antibiotic-Resistant Biofilmsmachine learningManohar Jain Download
AI-Enhanced Biosensors for Real-Time Detection of Pathogens Using Nanomaterialsmachine learningFaisal Ahmed Download
Integrating Deep Learning with Nanotechnology for Virus Detectionmachine learningAkash Kumar Download
Predictive Modelling of Nanoparticle Interactions with the Human Microbiomemachine learningDr. Altaf Hussain Download
AI-Driven Optimization of Nanoparticle-Based Gene Delivery SystemsArtificial Intelligence (AI)Akshay Gowda Download
Crowd Density Prediction using Deep LearningComputer Science and EngineeringAbdul Jabbar Shaikh Download
HOMIGO – A FULL-STACK APPLICATIONComputer EngineeringProf. Somashekhar B M Download
Soldier Health Monitoring & Surveillance Robot using War field using IOTComputer EngineeringProf. Seema firdose Download
12