Attack Detection and Estimation in Cooperative Vehicles Platoons: A Sliding Mode Observer Approach

Platoons of autonomous vehicles are currently being investigated by academic and industrial researchers as a way to increase road capacity and fuel efficiency. In order to fully reach such goals, a platoon must be endowed with cooperative capabilities, such as Cooperative Adaptive Cruise Control (CACC). This technique is based on the vehicles’ sensors and on wireless communication between them, in order to control their longitudinal dynamics. However, the use of wireless communication exposes individual vehicles to cyber-attacks that aim at disrupting the platoon. Detecting and estimating a class of such attacks is the challenge considered in this paper, where an adaptive sliding mode observer is designed for this purpose. Theoretical results on the observer stability and robustness and simulation results are provided.

[1]  Yue Quan,et al.  Distributed fault detection and isolation for leader–follower multi-agent systems with disturbances using observer techniques , 2018 .

[2]  Karl Henrik Johansson,et al.  Revealing stealthy attacks in control systems , 2012, 2012 50th Annual Allerton Conference on Communication, Control, and Computing (Allerton).

[3]  Jeroen Ploeg Cooperative Vehicle Automation: Safety Aspects and Control Software Architecture , 2017, 2017 IEEE International Conference on Software Architecture Workshops (ICSAW).

[4]  Karl Henrik Johansson,et al.  A secure control framework for resource-limited adversaries , 2012, Autom..

[5]  S. Shankar Sastry,et al.  Secure Control: Towards Survivable Cyber-Physical Systems , 2008, 2008 The 28th International Conference on Distributed Computing Systems Workshops.

[6]  G. Karagiannis,et al.  Impact of packet loss on CACC string stability performance , 2011, 2011 11th International Conference on ITS Telecommunications.

[7]  Nathan van de Wouw,et al.  Design and experimental evaluation of cooperative adaptive cruise control , 2011, 2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC).

[8]  Florian Dörfler,et al.  Attack Detection and Identification in Cyber-Physical Systems -- Part II: Centralized and Distributed Monitor Design , 2012, ArXiv.

[9]  Yves Deswarte,et al.  Survey on security threats and protection mechanisms in embedded automotive networks , 2013, 2013 43rd Annual IEEE/IFIP Conference on Dependable Systems and Networks Workshop (DSN-W).

[10]  Nathan van de Wouw,et al.  Graceful degradation of CACC performance subject to unreliable wireless communication , 2013, 16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013).

[11]  Kpatcha M. Bayarou,et al.  Assessment of node trustworthiness in VANETs using data plausibility checks with particle filters , 2012, 2012 IEEE Vehicular Networking Conference (VNC).

[12]  Bruno Sinopoli,et al.  Challenges for Securing Cyber Physical Systems , 2009 .

[13]  Riccardo M. G. Ferrari,et al.  Detection and Isolation of Replay Attacks through Sensor Watermarking , 2017 .

[14]  Pierluigi Pisu,et al.  Resilient control strategy under Denial of Service in connected vehicles , 2017, 2017 American Control Conference (ACC).

[15]  Khashayar Khorasani,et al.  Actuator Fault Detection and Isolation for a Network of Unmanned Vehicles , 2009, IEEE Transactions on Automatic Control.

[16]  O. Gehring,et al.  Practical results of a longitudinal control concept for truck platooning with vehicle to vehicle communication , 1997, Proceedings of Conference on Intelligent Transportation Systems.

[17]  G Naus,et al.  Cooperative adaptive cruise control, design and experiments , 2010, Proceedings of the 2010 American Control Conference.

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