Proactive Phishing Threat Exposure Mitigation through Adaptive Vulnerability Management: Utilizing Threat Intelligence, User Behavior Analytics, and Predictive Analytics
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


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Research Paper | Computer Science and Information Technology | United States of America | Volume 12 Issue 8, August 2023 | Popularity: 4.7 / 10


     

Proactive Phishing Threat Exposure Mitigation through Adaptive Vulnerability Management: Utilizing Threat Intelligence, User Behavior Analytics, and Predictive Analytics

Santosh Kumar Kande


Abstract: Phishing remains one of the most common and effective attack methods, compromising both individual users and corporate networks. Traditional defenses like email filters and user training often fail to address how phishing campaigns exploit known and emerging vulnerabilities. This paper introduces an adaptive framework that utilizes threat intelligence, user behavior analytics (UBA), and predictive analytics to dynamically prioritize and mitigate vulnerabilities exposed to phishing campaigns. By integrating phishing threat intelligence and UBA into vulnerability management and using machine learning for predictive risk scoring, this approach offers a real - time, proactive defense against phishing - based exploits.


Keywords: Phishing, Attack Methods, Vulnerability Management, Threat Intelligence, User Behavior Analytics


Edition: Volume 12 Issue 8, August 2023


Pages: 2141 - 2561


DOI: https://www.doi.org/10.21275/SR241010075237


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Santosh Kumar Kande, "Proactive Phishing Threat Exposure Mitigation through Adaptive Vulnerability Management: Utilizing Threat Intelligence, User Behavior Analytics, and Predictive Analytics", International Journal of Science and Research (IJSR), Volume 12 Issue 8, August 2023, pp. 2141-2561, https://www.ijsr.net/getabstract.php?paperid=SR241010075237, DOI: https://www.doi.org/10.21275/SR241010075237

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