A Method for Identifying and Assessing Phishing Attacks in Communication Messages
Keywords:
Phishing, Communications, Chat Applications, Email, Machine LearningAbstract
Phishing attacks have become a significant threat in online communication platforms. These attacks exploit human vulnerabilities by using deceptive messages to steal sensitive information or distribute malicious content. This paper presents a comprehensive phishing detection system, leveraging machine learning and multi-layered analysis of URLs, files, and message content. The proposed system integrates URL analysis, file analysis, and text analysis services to identify potential threats effectively. Experimental results demonstrate the efficacy of the approach, achieving high accuracy in detecting phishing attempts. This research contributes to the field of cybersecurity by providing a robust framework for identifying and mitigating phishing risks in real-time communication.
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