Towards a Self-adaptive Trust Management Model for VANETs

Souissi, Ilhem; Azzouna, Nadia Ben; Berradia, Tahar

doi:10.5220/0006463305130518

Cited by 11 publications

(6 citation statements)

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“…One way in which we could try for expanded trust modelling would be considering each new object in our framework with a POMDP. Allowing more uncertainty about vehicles is advocated by Balkrishan [35] though their context is MANETs, while Souissi et al [36] suggest more potential by examining similarity of messages received from different sources, which may help to determine the risk of believing a given report. These are other possible directions for richer trust modelling components.…”

Section: Discussionmentioning

confidence: 99%

TruPercept: Trust Modelling for Autonomous Vehicle Cooperative Perception from Synthetic Data

Hurl¹,

Cohen²,

Czarnecki³

et al. 2019

Preprint

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Inter-vehicle communication for autonomous vehicles (AVs) stands to provide significant benefits in terms of perception robustness. We propose a novel approach for AVs to communicate perceptual observations, tempered by trust modelling of peers providing reports. Based on the accuracy of reported object detections as verified locally, communicated messages can be fused to augment perception performance beyond line of sight and at great distance from the ego vehicle. Also presented is a new synthetic dataset which can be used to test cooperative perception. The TruPercept dataset includes unreliable and malicious behaviour scenarios to experiment with some challenges cooperative perception introduces. The TruPercept runtime and evaluation framework allows modular component replacement to facilitate ablation studies as well as the creation of new trust scenarios we are able to show.

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Section: Discussionmentioning

confidence: 99%

TruPercept: Trust Modelling for Autonomous Vehicle Cooperative Perception from Synthetic Data

Hurl¹,

Cohen²,

Czarnecki³

et al. 2019

Preprint

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show abstract

“…Their trust management system consists of a punishment and reward mechanism. Trust management systems utilize selected vehicles to monitor other vehicles in the VANET [ 1 , 37 , 38 , 39 , 40 ], either as neighbour vehicles, watchdog vehicles, or cluster heads. Trust management systems must protect against vehicles that perform monitoring tasks in security solutions.…”

Section: Vanet Overviewmentioning

confidence: 99%

A Multi-Tier Trust-Based Security Mechanism for Vehicular Ad-Hoc Network Communications

Akwirry

Bessis

Malik

et al. 2022

Sensors

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Securing communications in vehicle ad hoc networks is crucial for operations. Messages exchanged in vehicle ad hoc network communications hold critical information such as road safety information, or road accident information and it is essential these packets reach their intended destination without any modification. A significant concern for vehicle ad hoc network communications is that malicious vehicles can intercept or modify messages before reaching their intended destination. This can hamper vehicle ad hoc network operations and create safety concerns. The multi-tier trust management system proposed in this paper addresses the concern of malicious vehicles in the vehicle ad hoc network using three security tiers. The first tier of the proposed system assigns vehicles in the vehicle ad hoc network a trust value based on behaviour such as processing delay, packet loss and prior vehicle behavioural history. This will be done by selecting vehicles as watchdogs to observe the behaviour of neighbouring vehicles and evaluate the trust value. The second tier is to protect the watchdogs, which is done by watchdogs’ behaviour history. The third security tier is to protect the integrity of data used for trust value calculation. Results show that the proposed system is successful in identifying malicious vehicles in the VANET. It also improves the packet delivery ratio and end-to-end delay of the vehicle ad hoc network in the presence of malicious vehicles.

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“…A self‐adaptive trust model for vehicular networks is proposed in Souissi et al 20 The authors in this study estimated the trust by proving different metrics instead of utilizing classical methods. Kerrache et al proposed a vital NCT trust scheme that describes the usage of nodes and their associated weights in computing trust for such networks 21 .…”

Section: Related Workmentioning

confidence: 99%

Reliable data exchange in vehicular delay tolerant networks using AI‐based hybrid trust management

Chourasia

Pandey

Kumar

2022

Int J Communication

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Summary Vehicular delay‐tolerant networks (VDTNs) play prominent part in smart transportation and smart city paradigm to diminish the drivers' risk to meet accidents and offer many infotainment and entertainment services. All the operations are carried out by exchanging data among nodes. However, due to open communication nature of VDTN, the data broadcasted by mobile nodes are quiet susceptible to security attacks. Recently, a number of protocols are proposed for open communication. However, securing such communications and establishing trust value among vehicles are major addressable issues. This is because the existing fraudulent peers can lead to catastrophic circumstances on roads. Along with securing the data carriers, the authenticity and reliability of data is also equally important. In order to identify reliable nodes and maintaining the authenticity of data being communicated, a new artificial intelligence (AI)‐based hybrid trust management framework is proposed in this article. The study particularly exploits the proximity‐based k‐nearest neighbour (kNN) classification model for selecting controlling nodes. Further, decision stump is employed to accomplish trust estimation rules, and backpropagation is used to self‐train the mobile nodes, whenever anticipated trust value is not attained. The proposed scheme maintains the integrity of vehicular nodes and efficiently handles the specified. The trust framework uses a multifaceted direct and recommended trust estimation approach to calculate the global trust values. For comparison, the performance of the proposed method was compared with other trust management approaches.

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Towards a Self-adaptive Trust Management Model for VANETs

Cited by 11 publications

References 0 publications

TruPercept: Trust Modelling for Autonomous Vehicle Cooperative Perception from Synthetic Data

TruPercept: Trust Modelling for Autonomous Vehicle Cooperative Perception from Synthetic Data

A Multi-Tier Trust-Based Security Mechanism for Vehicular Ad-Hoc Network Communications

Reliable data exchange in vehicular delay tolerant networks using AI‐based hybrid trust management

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