DGA domain detection
POOJA BHAVSAR
Published
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• Built an end-to-end DGA detection system: extracted n-gram/entropy features from 1M+ domain samples, trained a character-embedding
LSTM in TensorFlow/Keras achieving 98.4% accuracy and 0.988 ROC-AUC on 200K+ evaluation samples.
• Built a real-time Kafka producer-consumer pipeline streaming Zeek DNS logs (50,000+ entries/session) into a FastAPI inference endpoint,
Dockerized for continuous scoring; improved cyber threat detection rate by 40% and cut manual log-review effort by 60%.