Coursework
Real-Time NIDS
Network intrusion detection using CNN-LSTM and a streaming data pipeline.
PythonKafkaFlinkCNN-LSTMFastAPINode.js
About the Project
A coursework project developed with Võ Lê Thiên Ân and other team members.
The system uses Kafka and Flink to process network data, FastAPI for CNN-LSTM inference, MongoDB to store results, and a Node.js/Pug dashboard updated through Socket.IO. The repository includes a lab environment for simulating traffic and monitoring security incidents.
Conducted for learning and lab experimentation.
