Cyber Security Event Detection Using Machine Learning Technique

Abstract

Artificial Intelligence and Machine Learning techniques have become crucial components in the field of cybersecurity. The proposed model you mentioned can help to enhance the overall security of a system by detecting and preventing malicious attacks in real-time. With the help of advanced algorithms, machine learning models can analyze large amounts of data, identify patterns and anomalies, and take appropriate action to prevent a security breach. This leads to improved detection rates and reduced false positive rates, which results in a more effective defense against cyber threats.

Additionally, the model can be used to develop new security frameworks for companies and organizations. These frameworks can include network security, data protection, device security, and identity management, among others. This research presents a cyber security-based model helps to ensure that all critical assets are protected from cyber-attacks and that sensitive information is not leaked or stolen. The integration of AI and ML techniques into cybersecurity systems has the potential to significantly improve the overall security posture of an organization and help protect against the growing threat of cyber attacks.