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Web database network networking environment carrying network carrier and network channel is different, web database through the cloud storage form to realize the sharing of resources, abnormal data cloud storage to network information generated by the web database space to bring a sense of crisis and the data storage space is insufficient, so the network environment to detect abnormal data web the database requires more accurate to. The traditional outlier detection method uses the simplified gradient method to detect the abnormal data of Web database, which can not remove the abnormal web data with the interference frequency components, and has low detection performance. To this end, we propose a web distributed database abnormal data detection method based on spatial-temporal correlation, compared with the centralized algorithm accuracy and consumption, simulation results show that the proposed method of outlier detection, reduce the energy consumption of the web data, the amplitude of the signal is greater than the amplitude of noise data, has good anti-jamming performance.