False message detection method based on traffic flow model in vehicular ad hoc networks

Abstract

The invention provides a false message detection method based on a traffic flow model in vehicular ad hoc networks and aims at an attack initiated by an attacker in the network through sending a falsealarm message and forging an emergency traffic event; vehicles in the upstream and downstream road sections serve as authenticators, the local vehicle density is observed based on a vehicle-mounted sensor, a Bayesian decision model is established to calculate a posterior probability of real occurrence of the emergency event, and the false alarm message is detected; in order to reasonably take values for key parameters of the model, a traffic model is established based on a traffic flow theory, a dynamic change process of a state of the traffic flow is represented by using a differential equation, a balanced concept is defined to indicate that the emergency event is a steady state of the vehicle density in true/false two traffic modes, and a balance point derivation method is given. Experimental results show that the established traffic model can better predict the dynamic change of the traffic flow, the detection accuracy can be effectively enhanced, and meanwhile, the collusion attack resistance is remarkably enhanced.

Description

technical field [0001] The invention relates to the technical field of vehicle ad hoc network security, in particular to a method for detecting false news based on a traffic flow model in a vehicle ad hoc network. Background technique [0002] Vehicular Ad-hoc Networks (VANETs) is a distributed, self-organizing, heterogeneous wireless multi-hop network composed of vehicle nodes, roadside communication infrastructure and background service centers, such as figure 1 shown. VANETs collect data from on-board sensors through the wireless nodes installed on the vehicle, perceive the vehicle's position, speed, direction and other information, as well as abnormal events such as braking and airbag ejection, and use dedicated short-range communication technology (Dedicated Short Range Communications: DSRC) to realize communication between vehicles. , Multi-hop wireless communication between vehicles and roadside communication infrastructure, so as to exchange, share and publish this ...

AI Technical Summary

Problems solved by technology

[0008] Aiming at the technical problem that the existing VANETs security framework based on message integrity protection and reputation mechanism is difficult to effectively detect and defend against false news attacks initiated by internal adversaries in VANETs, ​​the present invention proposes a false message attack based on traffic flow model in vehicular ad hoc network. The message detection method uses the cooperation of vehicles on the upstream and downstream sections of the scene to observe the local vehicle density and evaluate the authenticity of the alarm message, thereby enhancing the accuracy of the detection mechanism and the ability to resist collusion attacks

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