Detection Approaches for Position Falsification Attack in VANET

Intelligent Transportation System (ITS) employ Vehicular Ad Hoc Network (VANET) to increase road safety and decrease thenumber of accidents. VANET uses Dedicated Short-Range Communications (DSRC) to allow drivers to obtain reasonable awareness of surrounding vehicles. VANET reliability is affected by any degradation in the communication channel or any lack of exchanged information between vehicles. Moreover, it is vulnerable to a wide range of malicious attacks due to its nature. Such issues might cause a complete failure in VANET services and hence cause accidents, injuries, or death. Thus, VANET reliability and security are very critical. This paper discusses briefly different types of malicious attacks in VANET and some of their detection techniques. It gives more attention to position falsification attack as it has a severe impact on different VANET services. Furthermore, it explores previously proposed detection approaches for this attack using either traditional or machine learning techniques. Finally, attention will be drawn to unresolved challenges and potential future research directions.