Sequential Deep Learning Architectures for Anomaly Detection in Virtual Network Function Chains

no code implementations • 29 Sep 2021 • Chungjun Lee, Jibum Hong, DongNyeong Heo, Heeyoul Choi

Therefore, we propose several sequential deep learning models to learn time-series patterns and sequential patterns of the virtual network functions (VNFs) in the chain with variable lengths.

Anomaly Detection Time Series +1