Real time identification of phishing attacks through machine learning enhanced browser extensions

Key Points

• Real-time identification of phishing attacks is achieved effectively using machine learning techniques.
• Detection algorithms demonstrate an accuracy rate of over 90% during testing phases.
• Application of machine learning enhanced browser extensions to monitor suspicious activity continuously.
• Implications highlight the need for proactive measures to combat evolving phishing threats online.