Using machine learning to find anomalies in fieldbus networks

Here are some more detailed figures for the paper "Using machine learning to find anomalies in fieldbus networks":

Dataset 1 - Denial of Service Attack

The figures are in the following order: Entropy Analyser | Local Outlier Factor Analyser | Overall Outliers | Support Vector Machine Analyser | Telegram Count | Unknown Address Analyser

Dataset 1 - New Device Attack

The figures are in the following order: Entropy Analyser | Local Outlier Factor Analyser | Overall Outliers | Support Vector Machine Analyser | Telegram Count | Unknown Address Analyser

Dataset 1 - Networkscan Attack

The figures are in the following order: Entropy Analyser | Local Outlier Factor Analyser | Overall Outliers | Support Vector Machine Analyser | Telegram Count | Unknown Address Analyser

Dataset 1 - Unusual Traffic Attack

The figures are in the following order: Entropy Analyser | Local Outlier Factor Analyser | Overall Outliers | Support Vector Machine Analyser | Telegram Count | Unknown Address Analyser

Dataset 2

The figures are in the following order: Entropy Analyser | Local Outlier Factor Analyser | Overall Outliers | Support Vector Machine Analyser | Telegram Count | Unknown Address Analyser