A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Vehicular ad hoc networks aim at enhancing road safety by providing vehicle-to-vehicle communications and safety-related applications. But safety-related applications, like Local Danger Warning, need a high trust level in received messages. Indeed, decisions are made depending on these messages. To increase the trustworthiness, a consensus mechanism is used. Thus, vehicles make a decision when a threshold is reached. Setting this threshold is of main importance because it impacts the decision delay, and thus, the remaining time for a driver reaction. In this paper, we investigate the problem of threshold establishment without globally unique identifier system (GUID). We propose to model the threshold as a Kalman filter and provide an algorithm to dynamically update the threshold. By simulations, we investigate the problem of insider attackers that generate information forgery attacks. Simulation results show that our dynamic method suffers from a bootstrapping phase but reduces the percentage of wrong decisions. Nevertheless, as future work, further analysis of default threshold value will be done.
Vehicular ad hoc networks aim at enhancing road safety by providing vehicle-to-vehicle communications and safety-related applications. But safety-related applications, like Local Danger Warning, need a high trust level in received messages. Indeed, decisions are made depending on these messages. To increase the trustworthiness, a consensus mechanism is used. Thus, vehicles make a decision when a threshold is reached. Setting this threshold is of main importance because it impacts the decision delay, and thus, the remaining time for a driver reaction. In this paper, we investigate the problem of threshold establishment without globally unique identifier system (GUID). We propose to model the threshold as a Kalman filter and provide an algorithm to dynamically update the threshold. By simulations, we investigate the problem of insider attackers that generate information forgery attacks. Simulation results show that our dynamic method suffers from a bootstrapping phase but reduces the percentage of wrong decisions. Nevertheless, as future work, further analysis of default threshold value will be done.
Spoofed data detection in VANETs using dynamic thresholds
2011-11-01
278316 byte
Conference paper
Electronic Resource
English
A farthest-first forwarding algorithm in VANETs
| IEEE | 2012
A novel reliable routing scheme for VANETs
| IEEE | 2012
Toward end-to-end control in VANETs
| IEEE | 2011
VANETs Cloud: Architecture, Applications, Challenges, and Issues
| Online Contents | 2020