However, the traditional anomaly detection methods often rely on static thresholds ... This study proposes a Long Short-Term Memory (LSTM) autoencoder-based approach to detect Man-in-the-Middle (MiTM) ...

Abstract: Multivariate time series anomaly detection (MTS-AD) is of great significance in various modern industrial applications and IT systems. Recently, some unsupervised deep models have been ...

[paper] [code] [Wang2025] Pre-training Enhanced Transformer for multivariate time series anomaly detection in Information Fusion, 2025. [paper] [code] [Maru2025] RATFM: Retrieval-augmented Time Series ...

Flexible Statistics and Data Analysis (FSDA) extends MATLAB for a robust analysis of data sets affected by different sources of heterogeneity. It is open source software licensed under the European ...