Dynamic Anomaly Detection for Evolving Cyber Threats Using Adaptive LSTM Networks
Cybersecurity systems must adapt to constantly evolving threats, where traditional static models, such as LSTM, struggle with concept drift and unseen attack vectors. This thesis proposes an adaptive anomaly...