SMART AI SYSTEM FOR MALICIOUS URL AND CYBER THREAT DETECTION

In conclusion, the development of a Smart AI System for Malicious URL and Cyber Threat Detection plays a significant role in enhancing cybersecurity and protecting users from online threats. Malicious URLs are widely used in phishing attacks, malware distribution, and other cyber crimes, making it essential to detect and prevent them effectively. Traditional detection methods such as blacklist and signature-based techniques are limited in their ability to identify newly created or unknown malicious URLs. The use of Artificial Intelligence and Machine Learning techniques provides a more advanced and efficient solution for detecting cyber threats. By analyzing various features of URLs and learning patterns from large datasets, AI-based systems can accurately classify URLs as malicious or legitimate. Machine learning algorithms such as   Random Forest, Support Vector Machine, and Decision Tree improve detection accuracy and help identify previously unseen threats.

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