## 2 Related Works  
A large number of researchers has put the provision of data security and integrity, provision of high QoS scores and resource saving as the most important tasks of V2X technology. It is worth noting that a comprehensive approach to solving these problems for V2X systems, at the moment, according to the sources known to us, has not been presented. However, if we consider the issues in isolation, the studies below can be highlighted, which allows us to assess the importance of considering this problem. Many researchers, for example, ref. [6], have considered the problems associated with the implementation of projects to improve transport infrastructure and have included various solutions to improve management, as well as describing the importance of using such networks. For energy-efficient computing in the network, the limited resources of the nodes should be considered, because the high latency and low reliability of computing tasks in the network leads to repeated packet transmissions, which increases energy consumption. In a study [7], in order to reduce the latency and transmission costs of computational offload, a cloud-based MEC vehicle network offload structure was proposed to reduce the computational task execution time with high vehicle mobility. In [8], in order to reduce the execution delay and computational energy consumption, an MEC system with multiple independent tasks of joint scheduling offload optimization and transmission power allocation was proposed. A study [3] formulated the problem of economically optimal V2X service placement in a distributed cloud/frontier environment and proposed a cost- and latency-aware heuristic algorithm. The results of the study revealed a trade-off between deployment cost and latency, with latency-tolerant services generally placed in the core of the cloud to reduce costs, while latency-critical services were placed at the edge to maintain their QoS requirements. In [9], a system based on edge computing is proposed to reduce the overall latency of data transmitted between vehicles and stationary roadside devices. An algorithm was developed to manage and control the unloading of data from vehicles on border servers, taking into account the waiting time. The work simulated the system to evaluate its performance and a real experiment was conducted to test the proposed system and the developed method of unloading traffic. The study [10] plans to integrate blockchain as a robust security mechanism for 5G V2X management along with MEC. The mobile edge computing (MEC) network architecture with software-defined networking (SDN) support for V2X is described in the study [11]. To reduce the overhead of a V2X network, a problem was proposed, in which the optimal offload solution, transmission power management, sub-channel assignment and computational resource allocation scheme were given. The offloading solution was modeled as a potential game and the Nash equilibrium was confirmed by constructing a potential function. In [12], common V2X threats are discussed and existing V2X authentication solutions are considered, while the importance of blockchain solutions in the field of critical data security for the presented networks is pointed out. In [2], an algorithm of blockchain technology operation for V2X nodes, taking into account the changes of vehicle-to-network topology due to the high mobility of vehicles, as well as an experiment that showed the numerical characteristics of resource allocation on the devices involved in the organization of V2N communication, is proposed. In [13], the authors propose a blockchain-based secure computing offloading scheme in the vehicle-to-network cloud, which included a blockchain-based trust management and a smart contract based on the DRL algorithm. In [14], the authors propose a trust model to calculate each neighbor's trust value, using the trust value to decide whether or not to accept a data message from a neighbor.