AI-Driven Defense: Building a Deep Neural Network for Network Intrusion Detection

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Presented at BSides San Diego 2025 by

Gaspard Baye

In this hands-on workshop, we will focus on the intersection of machine learning and cybersecurity by building a "Deep Neural Network (DNN)-based Network Intrusion Detection System (NIDS)." Intrusion detection tools are essential in identifying unauthorized access and attacks on networks, and with the rise of sophisticated cyber threats, traditional rule-based systems are no longer enough. A DNN can automatically learn patterns in network traffic to detect suspicious activities, making it a powerful defense mechanism against modern cyber threats.