CYBER THREAT DETECTION USING AI

Abstract

This research deals with the improvement of a framework able to detect and read cyber threats in actual time. Using synthetic intelligence strategies inclusive of gadget mastering and deep getting to know, the gadget tries to recognize anomalies and suspicious patterns of ability cyber assaults. The major additives of the proposed gadget are data series mechanisms, facts preprocessing modules, machine learning fashions for chance detection, and a warning mechanism. The studies method uses a systematic method which includes data series, function extraction, version education and assessment levels. Real information units which include network site visitors, machine logs and consumer conduct will be used to teach and validate the effectiveness of artificial intelligence fashions.