Blockchain-Based Dangerous Driving Map Data Cognitive Model in 5G-V2X for Smart City Security

Abstract

The development of 5G network communication has brought technological innovation to smart city communication, making the realization of V2X (vehicle to everything) technology possible. Vehicles wirelessly communicate with other vehicles, sensors, pedestrians, and roadside units, raising data security issues while driving. In order to ensure driving safety, the risk map cognitive model is established with the help of blockchain technology. In this model, the key map data and personal privacy information are encrypted and uploaded to form a blockchain, and the smart contract technology is used for automatic script processing. Then, according to different risk scenarios, cognitive learning is carried out for different risk levels, the cognitive results and corresponding operations are fed back to the intelligent vehicle, and these operations ensure the safe operation of the vehicle according to the intelligent vehicle. Finally, the feasibility of the model was verified by comparing different dangerous scenarios. The experimental results show that this risk cognition model can cognize the data of the intelligent vehicle according to different danger scenarios, and the model can transmit acceleration, deceleration, braking, and other behaviors to the intelligent vehicle to ensure smart city driving safety.

Retracted: Multi‐vehicle group‐aware data protection model based on differential privacy for autonomous sensor networks

“…To solve the problem of privacy leakage in the process of multi-group data interaction, the group-aware data transaction algorithm can be used to protect privacy, and we can build the reputation model of participants to optimise the data interaction experience [8]. In order to solve the threat to user privacy caused by low security of connected vehicles, the sensitive data privacy protection scheme of connected vehicles based on blockchain can improve the hiding rate of sensitive data, ensure the information security of intelligent vehicles, and better serve the architecture of Internet of vehicles [9]. As one of the essential signs of the third wave of artificial intelligence, wheeled robots not only inherit knowledge but also learn independently, which brings about to enable wheeled robots that use a driving brain to achieve data-driven control and learning [10].…”

Retracted: Blockchain-Based Dangerous Driving Map Data Cognitive Model in 5G-V2X for Smart City Security

“…Security and Communication Networks has retracted the article titled "Blockchain-Based Dangerous Driving Map Data Cognitive Model in 5G-V2X for Smart City Security" [1] due to concerns that the peer review process has been compromised.…”