TS-PADM: Anomaly Detection Model of Wireless Sensors Based on Spatial-Temporal Feature Points

Algorithm 1

Anomaly detection algorithm based on spatial-temporal features.

Input: a feature set of detection points

Output: the probability of detection points in various regions

1. Map the primitive features of detection points to the latent feature space,,

2. Use a clustering algorithm to initialize the target distribution

3. WHILE NOT converged:

4. Fix the target distributionand update the parameter

5. Calculate the possibility of the detection points in the regionand update

6. Fix the parameters and calculateto update target distribution

7. END WHILE

8. RETURN