Message reliability evaluation method for aggregation of two trust evaluations in car networking

Abstract

The present invention discloses a message reliability evaluation method for aggregation of two trust evaluations in car networking. A trust center is configured to maintain trust information of vehicles, and the vehicles require the newest trust certificates themselves at a fixed period, message publishers carry the newest trust certificates when sending the messages to prove the trustworthiness themselves; a message receiver extracts the trust certificates and integrally considers the message of the plurality of message publishers to determine the reliability after receiving each message, generate one trust feedback for each message publisher and send the trust feedbacks to the trust center, and then the trust center updates the trust feedbacks and locally store the trust feedbacks. The message reliability evaluation method for aggregation of two trust evaluations in car networking can effectively aggregate the two trust evaluations with no need for requiring the trust center by the message receivers in real time so that the evaluation result is more accurate and the evaluation speed is faster, the condition that the vehicles cannot be connected with the trust center in a short time can be compatible, and the message reliability evaluation method for aggregation of two trust evaluations in car networking more accord with the high dynamic features of the car networking.

Description

technical field [0001] The present invention relates to the technical field of vehicle networking security, in particular to a message reliability assessment method for aggregating two kinds of trust assessments (ie, entity-oriented trust assessment and data-oriented trust assessment) in the vehicle network. Background technique [0002] As the main application of the Internet of Things in the automotive industry and the core component of the intelligent transportation system, the Internet of Vehicles plays a vital role in urban road traffic. It can provide various information services, improve driving safety and efficiency, and promote energy conservation and emission reduction. . [0003] However, due to its large-scale, open, distributed, sparse, and highly dynamic characteristics, IoV is vulnerable to malicious behaviors and attacks. For example, malicious vehicles (“vehicles” are also called “nodes” or “entities”) may spread a large amount of false news (“messages” are...

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Problems solved by technology

[0005] Park et al [S.Park, B.Aslam, and C.C.Zou, "Long-term reputation system for vehicular networking based on vehicle's daily commute routine," inProc.2011CNCC, 2011, pp.436-441.] proposed an infrastructure-based The long-term reputation model of , in which the roadside unit is responsible for monitoring the daily behavior of the vehicle and maintaining its trust information, but this model considers the messages of each message sender in isolation, completely ignoring the data-oriented trust, so its practical performance is limited

Huang et al [Z.Huang, S.Ruj, M.A.Cavenaghi, M.Stojmenovic, and A.Nayak, "A social network approach to trustmanagement in VANETs," Peer Peer Netw.Appl., vol.7, no.3, pp.229-242, Sep.2014.] A novel trust model is proposed from the perspective of social network, in which the receiver of the message considers both the news of an event and its opposite event to comprehensively judge whether it is reliable, but the model completely ignores Entity-oriented trust is established, and messages from honest vehicles and malicious vehicles are given the same weight, so its practical performance is not good

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