A BEHAVIORAL APPROACH FOR DETECTING ANOMALIES AND POTENTIAL THREATS IN WEBSITES
Abstract
The project proposes a behavioural-based method to detect anomalies and potential threats on websites.By analysing user,administrator,and bot behaviour, the system identifies deviations from normal patterns, enhancing security through real-tme monitoring and adaptive threat detection. Through experimentation, it demonstrates effectiveness in safeguarding websites against cyber threats.
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