Multi-source data based anomaly detection through temporal and spatial characteristics

Peng Xu, Qihong Gao, Zhongbao Zhang, Kai Zhao

Abstract: Highlights•Design a Transformer encoder to parse log templates and output template vectors.•Design an attention-based CNN to obtain the spatial characteristics from traces.•Use Bi-LSTM to obtain the temporal characteristics of logs, traces and metric data.•Detect anomalies by comparing the predicted data and the collected data.•Verify the superiority of our method in accuracy compared to SOTA methods.