R. W. Van-der-heijden, T. Lukaseder, and F. Kargl, VeReMi: A Dataset for Comparable Evaluation of Misbehavior Detection in VANETs, 2018.

S. So, P. Sharma, and J. Petit, Integrating plausibility checks and machine learning for misbehavior detection in vanet, 2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA), pp.564-571, 2018.

P. K. Singh, S. Gupta, R. Vashistha, S. K. Nandi, and S. Nandi, Machine learning based approach to detect position falsification attack in vanets, pp.166-178, 2019.

S. Gyawali and Y. Qian, Misbehavior detection using machine learning in vehicular communication networks, ICC 2019 -2019 IEEE International Conference on Communications (ICC), pp.1-6, 2019.

S. So, J. Petit, and D. Starobinski, Physical layer plausibility checks for misbehavior detection in v2x networks, Proceedings of the 12th Conference on Security and Privacy in Wireless and Mobile Networks, ser. WiSec '19, pp.84-93, 2019.

, ETSI EN, vol.302, pp.637-639

, Vehicular Communications; Basic Set of Applications; Part 2: Specification of Cooperative Awareness Basic Service, pp.1-45, 2019.

, Dedicated short range communications (DSRC) message set dictio-nary?, sae j2735, 2016.

C. Sommer, R. German, and F. Dressler, Bidirectionally coupled network and road traffic simulation for improved ivc analysis, IEEE Transactions on Mobile Computing, vol.10, issue.1, pp.3-15, 2011.

A. Varga, The omnet++ discrete event simulation system

D. Krajzewicz, J. Erdmann, M. Behrisch, and L. Bieker, Recent development and applications of SUMO -Simulation of Urban MObility, International Journal On Advances in Systems and Measurements, vol.5, issue.3&4, pp.128-138, 2012.

L. Codeca, R. Frank, and T. Engel, Luxembourg sumo traffic (lust) scenario: 24 hours of mobility for vehicular networking research, 2015 IEEE Vehicular Networking Conference (VNC), pp.1-8, 2015.

N. Bimeyer, C. Stresing, and K. M. Bayarou, Intrusion detection in vanets through verification of vehicle movement data, 2010 IEEE Vehicular Networking Conference, pp.166-173, 2010.

J. A. Dilellio, E. Carolipio, J. W. Chien, and K. Ghassaei, United States Patent and Trademark Office (USPTO), pp.7-969

K. Kobayashi, K. C. Cheok, and K. Watanabe, Estimation of absolute vehicle speed using fuzzy logic rule-based kalman filter, Proceedings of 1995 American Control Conference -ACC'95, vol.5, pp.3086-3090, 1995.

M. Hölzl, R. Neumeier, and G. Ostermayer, Analysis of compass sensor accuracy on several mobile devices in an industrial environment, Computer Aided Systems Theory -EUROCAST 2013, pp.381-389, 2013.

C. Deelertpaiboon and M. Parnichkun, Fusion of gps, compass, and camera for localization of an intelligent vehicle, International Journal of Advanced Robotic Systems, vol.5, issue.4, p.46, 2008.

R. W. Van-der-heijden, S. Dietzel, T. Leinmüller, and F. Kargl, Survey on Misbehavior Detection in Cooperative Intelligent Transportation Systems, IEEE Communications Surveys Tutorials, vol.21, issue.1, pp.779-811, 2019.

J. Kamel, Veremi extension: A dataset for comparable evaluation of misbehavior detection in vanets, 2020.
URL : https://hal.archives-ouvertes.fr/hal-02492739

J. Kamel, Github repository: Framework for misbehavior detection (f 2 md), 2019.

J. Kamel, A. Kaiser, I. Ben-jemaa, P. Cincilla, and P. Urien, CaTch: a confidence range tolerant misbehavior detection approach, 2019 IEEE Wireless Communications and Networking Conference (WCNC) (IEEE WCNC 2019), 2019.
URL : https://hal.archives-ouvertes.fr/hal-02126960

J. Kamel, F. Haidar, I. B. Jemaa, A. Kaiser, B. Lonc et al., A Misbehavior Authority System for Sybil Attack Detection in C-ITS, The IEEE 10th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference -IEEE UEMCON 2019, 2019.
URL : https://hal.archives-ouvertes.fr/hal-02316391