# Towards Strengthening the Resilience of IoV Networks--A Trust Management Perspective
###### Abstract
It mainly includes traffic light control, adaptive cruise, and vehicle choreography;
* _Information Services_--Information services mainly provide infotainment services, high-precision map download, navigation, and other value-added services. These include multimedia entertainment, high-precision map download, and remote vehicle diagnosis. Therefore, VANETs have huge social and commercial value. Figure 1: The relationship between the VANET and the Internet. In VANETs, the vehicles mainly act as nodes, propagating information; however, VANETs suffer from wireless instability, cover a relatively small mobile network, and are only suitable for local and discrete environments. On the contrary, IoV can process the messages it receives based on its perception ability. Every vehicle is regarded as an intelligent object in IoV and is equipped with a powerful multi-sensor platform, communication technology, computing units, and IP-based direct or indirect connections, thereby enabling it to connect to the Internet and other networking entities. In this regard, cellular vehicle to everything (C-V2X) is a promising vehicular communication technology that employs a cellular network, as shown in Figure 2.  
However, several security issues hinder the realization of IoV. Traditional security technologies based on authentication and encryption mechanisms cannot effectively identify internal attacks initiated by authenticated nodes. The core idea of a trust management mechanism is to ascertain the trust value of nodes and then identify malicious nodes by making intelligent decisions. The concept of 'trust management' was first proposed by [PERSON] [5] by providing a precise definition of trust and predicting the expected trust based on the probability distribution method. However, this model cannot effectively handle malicious attacks on the trust management mechanism itself, because it uses a simple weighted average method when calculating trust. In [6], the author put forward the concept of \"scope\" in trust management and can calculate the value of \"scope\", and they define another method to calculate the trust value. Many scholars have since begun to establish various trust models with different trust evaluation algorithms for different network environments, such as the P2P network, social networks and ad hoc networks. Classical trust models include Eigen Trust [7], Power Trust [8], Peer Trust [9], and Trust Guard [10]. Recently, many experts and scholars have carried out active research on the trust evaluation technology of IoV, and they obtained some interesting results. [PERSON] [11] put forward a trust management mechanism to ensure data security, which can help to choose the best path for a route. [PERSON] [12] proposed an attack-resistant trust management scheme for the IoV, which can resist false feedback attacks and switch attacks. [PERSON] [13] put forward a trust evaluation scheme, REPLACE, at the scene of highway vehicle arrangement, which was used to help the user vehicles in the motorcade choose the trusted head vehicle to follow. [PERSON] [14] proposed a trust model for IoV based on fuzzy logic and fog nodes, which made use of the characteristics of fuzzy logic. This model was good at handling inaccurate messages and had strong fault tolerance to evaluate the trust of messages transmitted in IoV. [PERSON] [15] introduced social relations into the Internet of Vehicles and put forward the concept of \"Vehicles Social Networks\" (VSNs), which reflected the influence of social characteristics and human behavior on VANET. [PERSON] [16] proposed introducing vehicle roles to help allocate initial trust values. [PERSON] [17] introduced the  
Figure 2: C-V2X schematic. PagePank algorithm, which was originally used for web page sorting. According to the local trust, a relatively stable local trust link graph that was independent of the dynamic network topology structure was constructed, and then, the global trust of nodes was iteratively calculated based on the local trust link graph.