TATU-hacker/CNN-LSTM-GRU

Next–Generation Intrusion Detection for IoT EVCS: Integrating CNN, LSTM, and GRU Models

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This project helps operations engineers and cybersecurity specialists protect Electric Vehicle Charging Stations (EVCS) from cyber threats. It takes real-time network traffic data from IoT-based EVCS and identifies whether an intrusion is occurring, classifying it into specific threat types. The output provides immediate alerts about security breaches, enabling rapid response to protect critical EV charging infrastructure.

No commits in the last 6 months.

Use this if you manage the security of IoT-based Electric Vehicle Charging Stations and need to detect a wide range of cyber intrusions with high accuracy.

Not ideal if your primary concern is securing non-IoT systems or other types of industrial control systems outside of EVCS.

EVCS security IoT cybersecurity intrusion detection critical infrastructure protection network monitoring

Stale 6m No Package No Dependents

Maintenance 0 / 25

Adoption 6 / 25

Maturity 16 / 25

Community 15 / 25

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License

Apache-2.0

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