Abstract
In this work, we study an abnormal traffic data detection scheme for vehicular CPS, in which outlier detection algorithm is used to identify abnormal data in vehicular CPS. Experimental results on actual vehicular CPS data show that the scheme can efficiently identify the abnormal traffic data in the vehicular CPS datasets.
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