NDR solutions uncover hidden threats missed by legacy tools by analyzing encrypted traffic, lateral movement, and blind spots ...

This project is a spam email classifier deployed using FastAPI and Docker. It uses a pre-trained machine learning model to classify emails as spam or not based on their content. The application is ...

Abstract: Network intrusion detection systems (NIDS) utilize signature and anomaly-based methods to detect malicious activities within networks. Advances in machine learning (ML) and deep learning (DL ...

Abstract: Intrusion Detection (ID) faces multiple challenges ... This paper presents a novel approach to ID in network traffic within edge computing environments using a Neural Network (NN) model. The ...

Machine learning (ML) offers the most effective tool to predict ... and result processing) are accomplished using the Python programming language. We preprocess the collected raw data to make them ...

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