Authors - Akshat Sharma, Alka Chaudhary Abstract - This study aims to develop an Automated Incident Response System (AIRS) for real-time detection and mitigation of cybersecurity threats. The system employs Random Forest for anomaly detection using live network traffic data. SMOTE is applied to address class imbalance, and Optuna optimizes model parameters for enhanced accuracy. A web-based dashboard provides real-time visualization of security incidents. Performance evaluation on the UNSW-NB15 dataset demonstrates high accuracy (94.7%) and reduced false positives, ensuring robust cyber defense.
Tuesday August 25, 2026 3:30pm - 5:30pm IST Virtual Room EGOA, India
