Enhancing Burp Suite with Machine Learning Extension for Vulnerability Assessment of Web Applications-Reference-Cited by-同舟云学术

Enhancing Burp Suite with Machine Learning Extension for Vulnerability Assessment of Web Applications

Published:2022-07-10 Issue: Volume: Page:1-19
ISSN:1936-1610
Container-title:Journal of Applied Security Research
language:en
Short-container-title:Journal of Applied Security Research

Author:

Thaqi Rrezearta¹,Vishi Kamer²^ORCID,Rexha Blerim¹^ORCID

Affiliation:

1. Faculty of Electrical and Computer Engineering, University of Prishtina, Prishtina, Kosovo

2. Department of Informatics, University of Oslo, Oslo, Norway

Publisher

Informa UK Limited

Subject

Law,Safety Research,Safety, Risk, Reliability and Quality,Education

Link

https://www.tandfonline.com/doi/pdf/10.1080/19361610.2022.2096387

Reference19 articles.

1. Acunetix. (2020). Web Application Vulnerability Report 2020. Retrieved January 10, 2020, from https://www.acunetix.com/wp-content/uploads/2020/10/Acunetix_2020_Web_Application_Vulnerability_Report.pdf.

2. Evaluation of Web Application Vulnerability Scanner for Modern Web Application

3. Machine Learning for Web Vulnerability Detection: The Case of Cross-Site Request Forgery

4. SQL Injections and Reinforcement Learning: An Empirical Evaluation of the Role of Action Structure

5. Vulnerability Detection is Just the Beginning

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