Outlier Detection of Internet of Vehicles

Abstract

With the development of the Internet of Things (IoT) and automobile industry in recent years, the Internet of Vehicle (IoV) has become a future direction of automobile development. Due to the large amount of vehicles, the opening of wireless media, the high-speed movement of vehicles and the impact of the environment, it is inevitable to produce abnormal data in IoVs including data tampering, loss, disorder and so on. However, there are few systematic research results for outlier detection of IoVs. The usability of the existing outlier detection schemes and their performances are not yet evaluated. To this issue, we select six applicable schemes and propose the outlier detection process for IoVs. Then we evaluate the comparison performances of the proposed schemes on real vehicle data collected by a Focus car.