Machine Learning Based Security Mechanism to Detect and Prevent Cyber Attacks in IOT Networks
Powered by Ridge Classifier Machine Learning
Real-time Threat Detection • Anomaly Analysis • Automated Recovery
97%
DETECTION ACCURACY
IoT Device Monitoring
Real-time monitoring of ESP32 sensors including temperature, humidity, and environmental data with anomaly detection.
Ridge Classifier ML
Advanced machine learning model that detects DoS attacks, malware, phishing, and other cyber threats with 97% accuracy.
Automated Recovery
Instant threat mitigation with firewall blocking, traffic filtering, and session termination.
Real-time Analytics
Comprehensive logging and visualization of network traffic, attacks, and system health.