Trust enforcement in vehicular networks: challenges and opportunities (original) (raw)
Related papers
TruMan: Trust Management for Vehicular Networks
IEEE Symposium on Computers and Communications, 2018
By integrating processors and wireless communication units into vehicles, it is possible to create a vehicular ad-hoc network (VANET), in which cars share data amongst themselves in order to cooperate and make roads safer and more efficient. A decentralized ad-hoc solution, which does not rely on previously existing infrastructure, Internet connection or server availability, is preferred so the message delivery latency is as short as possible in the case of life-critical situations. However, as it is the case with most new technologies, VANETs will be a prime target for attacks performed by malicious users, who may benefit from affecting traffic conditions. In order to avoid such attacks, one important feature for vehicular networks is trust management, which allows nodes to filter incoming messages according to previously established trust values assigned to other nodes. To generate these trust values, nodes use information acquired from past interactions. Nodes which frequently share false or irrelevant data must have lower trust values than the ones which appear to be reliable. This work proposes TruMan, a trust management model in the context of daily commutes, utilizing the Working Day Movement Model as a basis for node mobility. The results prove to be accurate, detecting nearly all malicious nodes with very few false positives when they constitute up to 50% of the network. The model is also very efficient thanks to the low complexity of the algorithm constituting the trust model.
Novel Trust Framework for Vehicular Networks
IEEE Transactions on Vehicular Technology, 2017
Dedicated Short Range Communication (DSRC) is proposed for Vehicle to Vehicle (V2V) communications to learn about significant events in the network from neighboring vehicles. However, these neighbors may be malicious and report incorrect events in order to take advantage of the system. The malicious nodes may also provide incorrect recommendations about their peers in order to exert a stronger influence on the receiver's decision. Incorrect information and malicious nodes render the system unreliable for safety and emergency applications. In order to correctly identify the events as well as malicious nodes, a novel trust framework is proposed in this paper which studies all aspects of the trust in Connected Vehicle (CV) to CV communications. The nodes iteratively learn about the environment from received messages and then update the trust values of their neighbors. Nodes are classified on the basis of their trust values and reported events are also classified as true and false. Nodes advertise their recommendation about trusted and malicious neighbors. The proposed framework allows nodes to identify and filter recommendations from malicious nodes, and to discern true events. The performance of the proposed framework is evaluated experimentally using false and true positive rates, event detection probability and trust computation error. The proposed framework identifies malicious nodes and true events with high probability of more than 0.92 while keeping the trust computation error below 0.03.
2018
VANETs (Vehicular Ad-hoc Networks) consist of vehicles capable of exchanging information by radio to improve road safety (alerts in case of accidents or in case of abnormal slowdowns, collaborative driving…) or allow internet access for passengers (collaborative networks, infotainment, etc.). Road safety messages exchanged between vehicles may be falsified or eliminated by malicious entities in order to cause accidents and endanger people life. In this thesis, we focus on defining, designing and evaluating a security solution for V2V communications in VANET, to ensure a secure communication and a good level of confidence between the different participating vehicles. Adopting a group-based model, we consider the Trustworthiness evaluation of vehicles participating in VANET and we develop a Trust Model to analyze the behavior of the vehicles in the group while preserving the privacy of the participants and maintaining low network overhead. We then propose a hierarchical and modular fr...
Smart Trust Management for Vehicular Networks
2016
Spontaneous networks such as VANET are in general deployed in an open and thus easily accessible environment. Therefore, they are vulnerable to attacks. Trust management is one of a set of security solutions dedicated to this type of networks. Moreover, the strong mobility of the nodes (in the case of VANET) makes the establishment of a trust management system complex. In this paper, we present a concept of ‘Active Vehicle’ which means an autonomous vehicle that is able to make decision about trustworthiness of alert messages transmitted about road accidents. The behavior of an “Active Vehicle” is modeled using Petri Nets. Keywords—Component, active vehicle, cooperation, petri nets, trust management, VANET.
A Trust Management Framework for Vehicular Ad Hoc Networks
International journal of security, privacy and trust management, 2023
Vehicular Ad Hoc Networks (VANETs) enable road users and public infrastructure to share information that improves the operation of roads and driver experience. However, these are vulnerable to poorly behaved authorized users. Trust management is used to address attacks from authorized users in accordance with their trust score. By removing the dissemination of trust metrics in the validation process, communication overhead and response time are lowered. In this paper, we propose a new Tamper-Proof Device (TPD) based trust management framework for controlling trust at the sender side vehicle that regulates driver behaviour. Moreover, the dissemination of feedback is only required when there is conflicting information in the VANET. If a conflict arises, the RoadSide Unit (RSU) decides, using the weighted voting system, whether the originator is to be believed, or not. The framework is evaluated against a centralized reputation approach and the results demonstrate that it outperforms the latter.
ART: An Attack-Resistant Trust Management Scheme for Securing Vehicular Ad Hoc Networks
—Vehicular ad hoc networks (VANETs) have the potential to transform the way people travel through the creation of a safe interoperable wireless communications network that includes cars, buses, traffic signals, cell phones, and other devices. However, VANETs are vulnerable to security threats due to increasing reliance on communication, computing, and control technologies. The unique security and privacy challenges posed by VANETs include integrity (data trust), confidentiality, nonrepudiation, access control, real-time operational constraints/demands, availability, and privacy protection. The trustworthiness of VANETs could be improved by addressing holistically both data trust, which is defined as the assessment of whether or not and to what extent the reported traffic data are trustworthy, and node trust, which is defined as how trustworthy the nodes in VANETs are. In this paper, an attack-resistant trust management scheme (ART) is proposed for VANETs that is able to detect and cope with malicious attacks and also evaluate the trustworthiness of both data and mobile nodes in VANETs. Specially, data trust is evaluated based on the data sensed and collected from multiple vehicles; node trust is assessed in two dimensions, i.e., functional trust and recommendation trust, which indicate how likely a node can fulfill its functionality and how trustworthy the recommendations from a node for other nodes will be, respectively. The effectiveness and efficiency of the proposed ART scheme is validated through extensive experiments. The proposed trust management theme is applicable to a wide range of VANET applications to improve traffic safety, mobility, and environmental protection with enhanced trustworthiness.
A hybrid dual-mode trust management scheme for vehicular networks
International Journal of Distributed Sensor Networks, 2020
Vehicular ad-hoc networks allow vehicles to exchange messages pertaining to safety and road efficiency. Building trust between nodes can, therefore, protect vehicular ad-hoc networks from malicious nodes and eliminate fake messages. Although there are several trust models already exist, many schemes suffer from varied limitations. For example, many schemes rely on information provided by other peers or central authorities, for example, roadside units and reputation management centers to ensure message reliability and build nodes’ reputation. Also, none of the proposed schemes operate in different environments, for example, urban and rural. To overcome these limitations, we propose a novel trust management scheme for self-organized vehicular ad-hoc networks. The scheme is based on a crediting technique and does not rely on other peers or central authorities which distinguishes it as an economical solution. Moreover, it is hybrid, in the sense it is data-based and entity-based which m...
Towards a Self-adaptive Trust Management Model for VANETs
Proceedings of the 14th International Joint Conference on e-Business and Telecommunications, 2017
The vehicular ad hoc networks (VANETs) aim basically to enhance the traffic safety performance, improve the traffic efficiency and achieve a comfortable driving experience. To reach these purposes, it is crucial to ensure the security of this network. Trust is one of the key challenges for VANET security enhancement. Trust management aims to investigate the relationship between the different entities in the network in order to ensure that only trustworthy messages are delivered to drivers. Solutions for trust evaluation are not self-adaptively adjusted to discriminate between the requirements of each class of applications. Moreover, most of these solutions stand on the reputation to determine the trustworthiness of vehicles. However, reputation is not wellsuited in VANET due to the absence of social connections between fast moving and distributed entities. In this paper, we present a self-adaptive trust management model that copes with the specifications of each class of applications in a different way in order to enhance the decision-making process, minimize both time and energy consumption for decision-making and improve the network's security. In addition to reputation, similarity and behavior assessment, our model uses the correlation between the event and contextual information and further the risk assessment for decision-making.
Evaluation criterias for trust management in vehicular ad-hoc networks (VANETs)
2014 International Conference on Connected Vehicles and Expo (ICCVE), 2014
Vehicular Ad-hoc networks (VANETs) have been around for a short time with a very promising future ahead. VANETs are one of the ad hoc networks real-life applications, where vehicles communicate which each other and with fixed components known as roadside units. VANETs have their unique characteristics and requirements which differ from those in standard ad-hoc networks, but the security remains a major challenge because of the very dynamic topology and the lack of infrastructure. In this autonomous and auto-organized environment, the question of whom to trust and for what become very important and difficult to answer. This paper addresses the issues associated with establishing trust between peers in VANET. It defines, discusses and evaluates various trust management approaches and how they address VANET requirements. The paper also proposes criterias for assessing the effectiveness of trust management models with regards to challenges specific to VANETs.
Securing Vehicular Networks Based on Data-Trust Computation
2011
Vehicular ad-hoc networks (VANETs) have a great potential to improve road safety, traffic jams, fuel consumption, and to increase passenger convenience in vehicles. However, VANETs use an open medium for communication and, therefore, are exposed to security threats that influence their reliability. We propose a data-trust security model designed for VANETs based on social network theories. Drivers receiving data about traffic congestion or safety warnings can use the model to evaluate the trust in the received information. The model computes a trust index for each message based on the relevance of the event. It also uses a gossiping approach to disseminate data-trust indexes between vehicles, increasing the accuracy in the trustworthiness of an event and assuring the privacy by hiding the original event sources. The approach is evaluated through modeling and simulation, and we present results that proof its validity.