A collaborative control strategy for platoons of autonomous vehicles in the presence of message falsification attacks

In this paper we propose a novel consensus-based control strategy, for platoons of autonomous vehicles, able to counteract to message falsification attacks. The control approach has been validated by using the PLEXE simulator. The presented comprehensive analysis confirms the effectiveness of the proposed solution.

[1]  K. Stromberg Introduction to classical real analysis , 1981 .

[2]  Antonio Pescapè,et al.  A consensus-based approach for platooning with inter-vehicular communications , 2015, 2015 IEEE Conference on Computer Communications (INFOCOM).

[3]  Urbano Nunes,et al.  Multiplatooning Leaders Positioning and Cooperative Behavior Algorithms of Communicant Automated Vehicles for High Traffic Capacity , 2015, IEEE Transactions on Intelligent Transportation Systems.

[4]  Antonio Saverio Valente,et al.  A Consensus-Based Approach for Platooning with Intervehicular Communications and Its Validation in Realistic Scenarios , 2017, IEEE Transactions on Vehicular Technology.

[5]  Mario di Bernardo,et al.  Distributed Consensus Strategy for Platooning of Vehicles in the Presence of Time-Varying Heterogeneous Communication Delays , 2015, IEEE Transactions on Intelligent Transportation Systems.

[6]  Mohammed Saeed Al-kahtani,et al.  Survey on security attacks in Vehicular Ad hoc Networks (VANETs) , 2012, 2012 6th International Conference on Signal Processing and Communication Systems.

[7]  Swaroop Darbha,et al.  Intelligent Cruise Control Systems And Traffic Flow Stability , 1998 .

[8]  S. Solyom,et al.  All aboard the robotic road train , 2012, IEEE Spectrum.

[9]  Falko Dressler,et al.  Plexe: A platooning extension for Veins , 2014, 2014 IEEE Vehicular Networking Conference (VNC).

[10]  Weihua Zhuang,et al.  Mobility impact in IEEE 802.11p infrastructureless vehicular networks , 2012, Ad Hoc Networks.

[11]  Jalel Ben-Othman,et al.  Survey on VANET security challenges and possible cryptographic solutions , 2014, Veh. Commun..

[12]  Ardalan Vahidi,et al.  Optimal speed advisory for connected vehicles in arterial roads and the impact on mixed traffic , 2016 .

[13]  E. Yaz Linear Matrix Inequalities In System And Control Theory , 1998, Proceedings of the IEEE.

[14]  Mario di Bernardo,et al.  Design, Analysis, and Experimental Validation of a Distributed Protocol for Platooning in the Presence of Time-Varying Heterogeneous Delays , 2016, IEEE Transactions on Control Systems Technology.

[15]  Gongjun Yan,et al.  Security challenges in vehicular cloud computing , 2013, IEEE Transactions on Intelligent Transportation Systems.

[16]  Bruno Sinopoli,et al.  Is your commute driving you crazy?: a study of misbehavior in vehicular platoons , 2015, WISEC.

[17]  Dipak Ghosal,et al.  Security vulnerabilities of connected vehicle streams and their impact on cooperative driving , 2015, IEEE Communications Magazine.

[18]  Xinping Guan,et al.  A comprehensive overview of cyber-physical systems: from perspective of feedback system , 2016, IEEE/CAA Journal of Automatica Sinica.

[19]  Emilia Fridman,et al.  Exponential stability of linear distributed parameter systems with time-varying delays , 2009, Autom..

[20]  Xiaodong Lin,et al.  Security in service-oriented vehicular networks , 2009, IEEE Wirel. Commun..