Natural language processing improves phishing detection by identifying malicious intent in messages or emails sent to mobile users.
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Natural language processing improves phishing detection by identifying malicious intent in messages or emails sent to mobile users.
Natural language processing (NLP) plays a crucial role in enhancing phishing detection by enabling systems to analyze and interpret the text content of messages or emails to identify signs of malicious intent. NLP algorithms can detect patterns, anomalies, suspicious wording, or context clues that may indicate a phishing attempt. By utilizing various NLP techniques like sentiment analysis, text classification, named entity recognition, and language modeling, systems can automatically flag potentially harmful messages, protecting mobile users from falling victim to phishing attacks.