Sheila Fallon

Graph-Based Anomaly Detection in LTE Networks: Effects of Temporal Aggregation and Window Alignment

A common but underexplored decision in network anomaly detection is how to aggregate time series data before feeding it into a model. This paper studies that decision directly and argues that temporal aggregation is not a neutral preprocessing step: the choice of window size and boundary placement changes which periods...