Role of Artificial Intelligence in Detecting Phishing Attacks and Online Scams: A Study of Users Awareness and Perception

Phishing attacks and online scams continue to create security risks for internet users. Traditional detection methods can help identify known threats, but attackers can modify websites, URLs, emails, and messages to avoid detection. Artificial Intelligence provides useful techniques for analysing large amounts of digital information and identifying suspicious patterns. Machine Learning can be used for analysing URLs and websites, while Natural Language Processing can help examine suspicious emails and scam messages. However, AI-based detection should be considered as an additional layer of cybersecurity rather than a complete replacement for user awareness. Users still need to understand common phishing techniques and carefully evaluate suspicious links, messages, websites, and requests for sensitive information. Overall, Artificial Intelligence has an important role in supporting the detection of phishing attacks and online scams. Combining AI-based security techniques with user awareness can provide a more effective approach to reducing the risks associated with online threats.

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