Modelling the Level of Trust in a Cooperative Automated Vehicle Control System

Rosenstatter, Thomas; Englund, Cristofer

doi:10.1109/tits.2017.2749962

Cited by 23 publications

(12 citation statements)

References 32 publications

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“…For example, vehicular network security proves to be a hot topic [1]. What's more, various researchers have presented systems to help vehicle to make safe decisions [2] and provided trust systems for managing vehicle-to-everything communications [3].…”

Section: Related Work a Formal Methods In Iotmentioning

confidence: 99%

Verification of Operating Systems for Internet of Things in Smart Cities From the Assembly Perspective Using Isabelle/HOL

2021

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Section: Related Work a Formal Methods In Iotmentioning

confidence: 99%

Verification of Operating Systems for Internet of Things in Smart Cities From the Assembly Perspective Using Isabelle/HOL

2021

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“…A trust system focusing on modeling the trust in the surrounding vehicles as well as the ego vehicle is presented by Rosenstatter and Englund [32]. The authors identify trust evaluation criteria for the own (ego) vehicle, all surrounding vehicles including more specific criteria for the vehicle in front, as this vehicle can be additionally verified with the vehicle's front sensors.…”

Section: Trust and Reputation Modelsmentioning

confidence: 99%

V2C: A Trust-Based Vehicle to Cloud Anomaly Detection Framework for Automotive Systems

Rosenstatter

Olovsson

Almgren

2021

Proceedings of the 16th International Conference on Availability, Reliability and Security

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Vehicles have become connected in many ways. They communicate with the cloud and will use Vehicle-to-Everything (V2X) communication to exchange warning messages and perform cooperative actions such as platooning. Vehicles have already been attacked and will become even more attractive targets due to their increasing connectivity, the amount of data they produce and their importance to our society. It is therefore crucial to provide cyber security measures to prevent and limit the impact of attacks.As it is problematic for a vehicle to reliably assess its own state when it is compromised, we investigate how vehicle trust can be used to identify compromised vehicles and how fleet-wide attacks can be detected at an early stage using cloud data. In our proposed V2C Anomaly Detection framework, peer vehicles assess each other based on their perceived behavior in traffic and V2X-enabled interactions, and upload these assessments to the cloud for analysis. This framework consists of four modules. For each module we define functional demands, interfaces and evaluate solutions proposed in literature allowing manufacturers and fleet owners to choose appropriate techniques. We detail attack scenarios where this type of framework is particularly useful in detecting and identifying potential attacks and failing software and hardware. Furthermore, we describe what basic vehicle data the cloud analysis can be based upon. CCS CONCEPTS• Security and privacy → Intrusion detection systems; • Computer systems organization → Embedded systems.

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“…Three-Valued Subjective Logic is utilized to calculate the trust value according to the quality and quantity of the vehicular interactions [8]. The authors of [9], [10] conduct the trust assessment through direct and indirect trust evaluations. The direct trust evaluation is based on the own vehicle and the indirect trust evaluation is based on environment.…”

Section: A Non-blockchain Trust Managementmentioning

confidence: 99%

“…The entity calculates the rating scores and provides network operators with a reward and punishment benchmark for vehicles. According to the evaluations of vehicles, researchers proposed several rating methods for vehicular systems [8]- [10]. However, there exists significant security and privacy challenges for the centralized methods.…”

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confidence: 99%

Proof-of-Reputation Based-Consortium Blockchain for Trust Resource Sharing in Internet of Vehicles

et al. 2019

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Resource sharing among vehicles can highly improve the capability and efficiency of Internet of Vehicles (IoV). However, it is challenging to establish trust and preserve privacy during the resource sharing process because of the high mobility and topological variability in IoV. Emerging blockchain technology expresses the excellent performance in handling distributed trust due to its verifiable and immutable ledger. In this paper, we first propose a consortium blockchain-based resource sharing paradigm in IoV, in which the resource sharing interactions are encapsulated as transactions and recorded by Road Side Units (RSUs). Moreover, a lightweight consensus mechanism named as Proof-of-Reputation is proposed to reduce computational power consumption and motivate vehicles involved in resource sharing. Finally a differentiated resource pricing scheme is proposed based on the dynamic match game of resource demand and supply. The reputation value is designed to indicate the trustworthy degree of vehicles, and the trust is established via the consensus procedure. We couple the resource sharing process and consensus together by utilizing the reputation value of each vehicle. The security and privacy analysis as well as simulation experiments on communication performance can verify the efficiency of the proposed blockchain system. INDEX TERMS Internet of Vehicles, lightweight blockchain, trust management. I. INTRODUCTION With the emergence of internet of Vehicles (IoV), various smart devices are linked to enable the fast and efficient applications [1]. IoV is an emerging paradigm to support the evolution of Intelligent Transportation Systems (ITS), which is highly characterized by gathering, sharing, processing, computing, and secure release of data services onto information platforms. IoV shows advantages on providing various services such as autonomous driving, accident alarming and mobile advertising [2], [3]. However, due to the high mobility and short interaction time of vehicles, it is difficult to directly utilize traditional cellular-based communication technologies in IoV to implement latency-sensitive applications. To enable the latency-sensitive applications, Vehicle-to-Vehicle (V2V) communication has emerged as a promising technology for IoV [4]. In this case, the connected vehicles enable a The associate editor coordinating the review of this manuscript and approving it for publication was Shui Yu.

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Modelling the Level of Trust in a Cooperative Automated Vehicle Control System

Cited by 23 publications

References 32 publications

Verification of Operating Systems for Internet of Things in Smart Cities From the Assembly Perspective Using Isabelle/HOL

Verification of Operating Systems for Internet of Things in Smart Cities From the Assembly Perspective Using Isabelle/HOL

V2C: A Trust-Based Vehicle to Cloud Anomaly Detection Framework for Automotive Systems

Proof-of-Reputation Based-Consortium Blockchain for Trust Resource Sharing in Internet of Vehicles

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