Implanting Domain Knowledge into Feature Selection for Effective Outlier Detection in Network Traffic Data

Feature selection is vital to outlier detection for network traffic data containing many noise features. Existing methods often perform on pure categorical or numerical data, which cannot directly work on network traffic data containing categorical and numerical features. Meanwhile, these methods do not utilize domain knowledge summarized based on characteristics of existing outliers, leading to u...