Abstract :

Cyber security threat detection is a crucial aspect of protecting digital systems and networks from unauthorized access and attacks. With the rapid growth of technology, cyber threats have become increasingly complex and sophisticated. Organizations face challenges in identifying and mitigating these threats in real time. Cyber security threat detection systems aim to monitor network traffic, detect anomalies, and respond to potential attacks. These systems utilize advanced techniques such as machine learning, intrusion detection, and pattern analysis. Real-time monitoring helps prevent data breaches and financial losses. The proposed system can detect malware, phishing attacks, DDoS attacks, and unauthorized access attempts. Automated alerts notify administrators of suspicious activities. Threat detection enhances system reliability and trustworthiness. It reduces the dependency on manual monitoring. Data encryption and secure protocols complement detection mechanisms. Historical atta