SBTMS: Scalable Blockchain Trust Management System for VANET

Ghajar, Fatemeh Ghovanlooy; Sratakhti, Javad Salimi; Sikora, Axel

doi:10.3390/app112411947

Cited by 17 publications

(9 citation statements)

References 41 publications

(47 reference statements)

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“…For the communication between roadside units and vehicles, Ghovanlooy Ghajar et al [ 17 ] proposed a blockchain-based scalable trust management system for VANET (Vehicular Ad-hoc NETwork). This system provides the vehicle with its surrounding driving environment and evaluates the reliability of the information about the surrounding environment acquired by the vehicle through its own sensors.…”

Section: Related Workmentioning

confidence: 99%

Obstacle Detection Method Based on RSU and Vehicle Camera Fusion

Ding

Zhang³

et al. 2023

Sensors

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Road obstacle detection is an important component of intelligent assisted driving technology. Existing obstacle detection methods ignore the important direction of generalized obstacle detection. This paper proposes an obstacle detection method based on the fusion of roadside units and vehicle mounted cameras and illustrates the feasibility of a combined monocular camera inertial measurement unit (IMU) and roadside unit (RSU) detection method. A generalized obstacle detection method based on vision IMU is combined with a roadside unit obstacle detection method based on a background difference method to achieve generalized obstacle classification while reducing the spatial complexity of the detection area. In the generalized obstacle recognition stage, a VIDAR (Vision-IMU based identification and ranging) -based generalized obstacle recognition method is proposed. The problem of the low accuracy of obstacle information acquisition in the driving environment where generalized obstacles exist is solved. For generalized obstacles that cannot be detected by the roadside unit, VIDAR obstacle detection is performed on the target generalized obstacles through the vehicle terminal camera, and the detection result information is transmitted to the roadside device terminal through the UDP (User Data Protocol) protocol to achieve obstacle recognition and pseudo-obstacle removal, thereby reducing the error recognition rate of generalized obstacles. In this paper, pseudo-obstacles, obstacles with a certain height less than the maximum passing height of the vehicle, and obstacles with a height greater than the maximum passing height of the vehicle are defined as generalized obstacles. Pseudo-obstacles refer to non-height objects that appear to be “patches” on the imaging interface obtained by visual sensors and obstacles with a height less than the maximum passing height of the vehicle. VIDAR is a vision-IMU-based detection and ranging method. IMU is used to obtain the distance and pose of the camera movement, and through the inverse perspective transformation, it can calculate the height of the object in the image. The VIDAR-based obstacle detection method, the roadside unit-based obstacle detection method, YOLOv5 (You Only Look Once version 5), and the method proposed in this paper were applied to outdoor comparison experiments. The results show that the accuracy of the method is improved by 2.3%, 17.4%, and 1.8%, respectively, compared with the other four methods. Compared with the roadside unit obstacle detection method, the speed of obstacle detection is improved by 1.1%. The experimental results show that the method can expand the detection range of road vehicles based on the vehicle obstacle detection method and can quickly and effectively eliminate false obstacle information on the road.

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Section: Related Workmentioning

confidence: 99%

Obstacle Detection Method Based on RSU and Vehicle Camera Fusion

Ding

Zhang³

et al. 2023

Sensors

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“…As an example, in social sciences, trust is the degree of subjective belief about the behavior of a particular entity. S. Marchs [26] defined trust is defined as the subjective probability of an agent performing a given action, for VANETs, the definition of trust is similar to that of sociology, where trust is the degree of belief that an entity will perform tasks that it should, and has five basic properties: asymmetry, dynamicity, subjectivity, non-transitivity, and context dependence [27] [18]. The initial phase of "Data Gathering" is one of the most important for the trust model and entity's physical data (status, communication characteristics, hardware/software resources, among others) and direct confidence ones related to interactions between system entities commonly evaluate by probabilistic methods are collected.…”

Section: Distributed Trust Managementmentioning

confidence: 99%

Trust Management and Authentication Protocol for CWD- WPT Charging Stations

Roman

Gondim

2023

Preprint

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Electric vehicles (EV) have become an important alternative to reduce contamination and atmospheric pollution in the environment caused, in part, by cars, due to their emissions of carbon dioxide. The broad dissemination of EV's in society involves the solution of challenges related to EV charging and travel times, which still must be overcome. Some proposals have pointed to wireless charging while the EVs are driven (CWD) with wireless power transfer (WPT) technology through magnetic induction. However, there are some concerns over security and access control in the system due to the particularities of VANET-based scenario, which requires high performance for offering a safe and quality service. This paper introduces an authentication and access control protocol for a CWD-WPT charging system based on bilinear pairing and trust management. When compared to another one, the protocol shows good performance in terms of computational, energy, and communication costs. A comparative security analysis performed revealed an improvement by our proposal regarding security functionalities.

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“…To guarantee the trustworthiness of received messages, Ghajar et al [ 33 ] provide a Bayesian formula for trust management and some blockchain-based data. Vehicles verify the accuracy of the messages they have received and calculate the trust values of the sender vehicles.…”

Section: Related Workmentioning

confidence: 99%

Blockchain-Assisted Privacy-Preserving and Context-Aware Trust Management Framework for Secure Communications in VANETs

Ahmed

Mukathe

2023

Sensors

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Vehicular ad hoc networks (VANETs) are used for improving traffic efficiency and road safety. However, VANETs are vulnerable to various attacks from malicious vehicles. Malicious vehicles can disrupt the normal operation of VANET applications by broadcasting bogus event messages that may cause accidents, threatening people’s lives. Therefore, the receiver node needs to evaluate the authenticity and trustworthiness of the sender vehicles and their messages before acting. Although several solutions for trust management in VANETs have been proposed to address these issues of malicious vehicles, existing trust management schemes have two main issues. Firstly, these schemes have no authentication components and assume the nodes are authenticated before communicating. Consequently, these schemes do not meet VANET security and privacy requirements. Secondly, existing trust management schemes are not designed to operate in various contexts of VANETs that occur frequently due to sudden variations in the network dynamics, making existing solutions impractical for VANETs. In this paper, we present a novel blockchain-assisted privacy-preserving and context-aware trust management framework that combines a blockchain-assisted privacy-preserving authentication scheme and a context-aware trust management scheme for securing communications in VANETs. The authentication scheme is proposed to enable anonymous and mutual authentication of vehicular nodes and their messages and meet VANET efficiency, security, and privacy requirements. The context-aware trust management scheme is proposed to evaluate the trustworthiness of the sender vehicles and their messages, and successfully detect malicious vehicles and their false/bogus messages and eliminate them from the network, thereby ensuring safe, secure, and efficient communications in VANETs. In contrast to existing trust schemes, the proposed framework can operate and adapt to various contexts/scenarios in VANETs while meeting all VANET security and privacy requirements. According to efficiency analysis and simulation results, the proposed framework outperforms the baseline schemes and demonstrates to be secure, effective, and robust for enhancing vehicular communication security.

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SBTMS: Scalable Blockchain Trust Management System for VANET

Cited by 17 publications

References 41 publications

Obstacle Detection Method Based on RSU and Vehicle Camera Fusion

Obstacle Detection Method Based on RSU and Vehicle Camera Fusion

Trust Management and Authentication Protocol for CWD- WPT Charging Stations

Blockchain-Assisted Privacy-Preserving and Context-Aware Trust Management Framework for Secure Communications in VANETs

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