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Please use this identifier to cite or link to this item: http://localhost:8080/xmlui/handle/123456789/603
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DC FieldValueLanguage
dc.contributor.authorChawla, Dimple-
dc.contributor.authorJain, Swati-
dc.date.accessioned2024-09-12T06:20:02Z-
dc.date.available2024-09-12T06:20:02Z-
dc.date.issued2024-06-
dc.identifier.issn1001-2400-
dc.identifier.urihttps://drive.google.com/file/d/14dUF1_b0ZYJ4TNQovaVPm9wwdhp0fHTT/view-
dc.identifier.urihttps://xadzkjdx.cn/index.php/volume-18-issue-6-june-24/-
dc.descriptionThe link of the article is given below.en_US
dc.description.abstractIn the realm of web security, a comprehensive vulnerability detection and prevention system serves as the cornerstone of a robust and holistic security strategy. Within this framework, a myriad of tools and practices converge, each offering unique strengths and capabilities to mitigate vulnerabilities effectively. By integrating a diverse array of tools and approaches, organizations can fortify their defences and proactively safeguard against potential threats in the ever-evolving landscape of cyber security. This research paper delves into a comprehensive examination of various vulnerability scanning tools, spotlighting modern approaches such as OWASP ZAP, Nessus, OpenVAS, and Nikto, alongside Web Application Firewalls like ModSecurity, SonarQube, Burp Suite, and Splunk. Furthermore, it proceeds to illustrate an experimental implementation utilizing React for front-end interface. Users input the URL of the web application, enabling the system to conduct vulnerability assessments and subsequently recommend preventive measures based on the detected vulnerabilities. This amalgamation of advanced tools and innovative implementation techniques underscores a proactive approach to web security, emphasizing both detection and prevention in the ongoing battle against cyber threats.en_US
dc.language.isoenen_US
dc.publisherJournal of Xidian Universityen_US
dc.titleSmart Approach for Vulnerability Detection Using Reacten_US
dc.typeArticleen_US
Appears in Collections:VSIT

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