I-sharing based trust estimation for crowdsensing services in vehicular network

Abstract

Recently, vehicles are becoming smarter with the support of its’ onboard sensors, computing and communication devices. This enable crowdsensing service, which is defined monitoring large-scale phenomena by human-carried everyday devices or vehicle-mounted sensors that cannot easily be measured by single individual, in vehicular network environment. The integrity of data is very important to this kind of crowdsensing service in vehicular network, because modified or forged data causes inconvenience and endangers other vehicles. The trust scheme can guarantee reliability to crowdsensing service from this problem by selecting trustworthy vehicles. This proposed model purpose to estimate trust fast and accurate in vehicular network environment for trust establishment. Because of features of vehicular network, mobility and public space, it is common that trustor encounters first meet vehicle and interaction time is relatively short. With considering these features, we suggest trust estimation method with I-sharing mechanism to achieve the goal even the target trustee is unknown. By extensive simulation, we prove our proposed model shows better performance, accuracy of trust estimation and decision accuracy, compare to previous works.