[Project Addition] : Network Anomaly Detection using BiLSTM

Niketkumardheeryan / ML-CaPsule

ML-capsule is a Project for beginners and experienced data science Enthusiasts who don't have a mentor or guidance and wish to learn Machine learning. Using our repo they can learn ML, DL, and many related technologies with different real-world projects and become Interview ready.

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[Project Addition] : Network Anomaly Detection using BiLSTM #946

Open bristiHalder opened 4 months ago

bristiHalder commented 4 months ago

The primary goal is to detect anomalies in network traffic data by leveraging the sequential learning capabilities of LSTM networks, enhanced by the bidirectional processing of BiLSTM. It is handy for detecting unusual patterns in network traffic that may indicate security threats or malfunctions.

Data Preprocessing
BiLSTM Model Design
Model Training
Anomaly Detection
Visualization

invigorzz313 commented 4 months ago

@bristiHalder the issue is assigned.

bristiHalder commented 4 months ago

@invigorzz313 can you please assign 'level' too?