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Expanding Upon LSTM Models for Network Traffic Analysis

As a part of my second high school internship at the Johns Hopkins Applied Physics Laboratory, I expanded my previous LSTM-based anomalous network traffic model to detect additional types of traffic.

I also created an LSTM model to extract relationships between entities in labeled text.

This post is licensed under CC BY 4.0 by the author.