The security of the wireless access network of electric power grids is critical for power grid productions. However

the control data anomalies are difficult to be detected in a fast and effective manner

due to the high dimension of the control protocol data in IEC 60870-5-104 protocol

as well as the dynamics on the quality of wireless channels. To this end

this paper proposes an anomaly traffic detector (ATD) for the wireless network of power girds based on multi-resolution low rank (MRLR) model. Firstly

the ATD is designed with the MRLR for the protocol

to regularize and reduce the security feature dimensions. Secondly

it utilizes the improved recursive feature selection and focused classification algorithms for accurate data anomaly detection. The results demonstrate the accuracy for the classification on data anomalies

and the performance for the dimensionality reduction.