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In wireless sensor networks, intruders can manipulate some sensors' observations locally, which results in outliers in distributed detection. These outliers can be detected and removed by a fusion centre as all the sensors' observations are available. For wireless sensor networks without a fusion centre, however, the detection performance can be significantly degraded as distributed consensus algorithms are vulnerable to outliers. In this paper, we consider the outlier detection for wireless sensor networks without a fusion centre when a distributed consensus algorithm is employed for distributed detection.