Cloud Computing in VANETs: Architecture, Taxonomy, and Challenges

Cloud Computing in VANETs (CC-V) has been investigated into two major themes of research including Vehicular Cloud Computing (VCC) and Vehicle using Cloud (VuC). VCC is the realization of autonomous cloud among vehicles to share their abundant resources. VuC is the efficient usage of conventional cloud by on-road vehicles via a reliable Internet connection. Recently, number of advancements have been made to address the issues and challenges in VCC and VuC. This paper qualitatively reviews CC-V with the emphasis on layered architecture, network component, taxonomy, and future challenges. Specifically, a four-layered architecture for CC-V is proposed including perception, co-ordination, artificial intelligence and smart application layers. Three network component of CC-V namely, vehicle, connection and computation are explored with their cooperative roles. A taxonomy for CC-V is presented considering major themes of research in the area including design of architecture, data dissemination, security, and applications. Related literature on each theme are critically investigated with comparative assessment of recent advances. Finally, some open research challenges are identified as future issues. The challenges are the outcome of the critical and qualitative assessment of literature on CC-V

Secure Authentication and Privacy-Preserving Techniques in Vehicular Ad-hoc NETworks (VANETs)

In the last decade, there has been growing interest in Vehicular Ad Hoc NETworks (VANETs). Today car manufacturers have already started to equip vehicles with sophisticated sensors that can provide many assistive features such as front collision avoidance, automatic lane tracking, partial autonomous driving, suggestive lane changing, and so on. Such technological advancements are enabling the adoption of VANETs not only to provide safer and more comfortable driving experience but also provide many other useful services to the driver as well as passengers of a vehicle. However, privacy, authentication and secure message dissemination are some of the main issues that need to be thoroughly addressed and solved for the widespread adoption/deployment of VANETs. Given the importance of these issues, researchers have spent a lot of effort in these areas over the last decade. We present an overview of the following issues that arise in VANETs: privacy, authentication, and secure message dissemination. Then we present a comprehensive review of various solutions proposed in the last 10 years which address these issues. Our survey sheds light on some open issues that need to be addressed in the future

Information management and security protection for internet of vehicles

Considering the huge number of vehicles on the roads, the Internet of Vehicles is envisioned to foster a variety of new applications ranging from road safety enhancement to mobile entertainment. These new applications all face critical challenges which are how to handle a large volume of data streams of various kinds and how the secure architecture enhances the security of the Internet of Vehicles systems. This dissertation proposes a comprehensive message routing solution to provide the fundamental support of information management for the Internet of Vehicles. The proposed approach delivers messages via a self-organized moving-zone-based architecture formed using pure vehicle-to-vehicle communication and integrates moving object modeling and indexing techniques to vehicle management. It can significantly reduce the communication overhead while providing higher delivery rates. To ensure the identity and location privacy of the vehicles on the Internet of Vehicles environment, a highly efficient randomized authentication protocol, RAU+ is proposed to leverage homomorphic encryption and enable individual vehicles to easily generate a new randomized identity for each newly established communication while each authentication server would not know their real identities. In this way, not any single party can track the user. To minimize the infrastructure reliance, this dissertation further proposes a secure and lightweight identity management mechanism in which vehicles only need to contact a central authority once to obtain a global identity. Vehicles take turns serving as the captain authentication unit in self-organized groups. The local identities are computed from the vehicle's global identity and do not reveal true identities. Extensive experiments are conducted under a variety of Internet of Vehicles environments. The experimental results demonstrate the practicality, effectiveness, and efficiency of the proposed protocols.Includes bibliographical references

Secure and Authenticated Message Dissemination in Vehicular ad hoc Networks and an Incentive-Based Architecture for Vehicular Cloud

Vehicular ad hoc Networks (VANETs) allow vehicles to form a self-organized network. VANETs are likely to be widely deployed in the future, given the interest shown by industry in self-driving cars and satisfying their customers various interests. Problems related to Mobile ad hoc Networks (MANETs) such as routing, security, etc.have been extensively studied. Even though VANETs are special type of MANETs, solutions proposed for MANETs cannot be directly applied to VANETs because all problems related to MANETs have been studied for small networks. Moreover, in MANETs, nodes can move randomly. On the other hand, movement of nodes in VANETs are constrained to roads and the number of nodes in VANETs is large and covers typically large area. The following are the contributions of the thesis. Secure, authenticated, privacy preserving message dissemination in VANETs: When vehicles in VANET observe phenomena such as accidents, icy road condition, etc., they need to disseminate this information to vehicles in appropriate areas so the drivers of those vehicles can take appropriate action. When such messages are disseminated, the authenticity of the vehicles disseminating such messages should be verified while at the same time the anonymity of the vehicles should be preserved. Moreover, to punish the vehicles spreading malicious messages, authorities should be able to trace such messages to their senders when necessary. For this, we present an efficient protocol for the dissemination of authenticated messages. Incentive-based architecture for vehicular cloud: Due to the advantages such as exibility and availability, interest in cloud computing has gained lot of attention in recent years. Allowing vehicles in VANETs to store the collected information in the cloud would facilitate other vehicles to retrieve this information when they need. In this thesis, we present a secure incentive-based architecture for vehicular cloud. Our architecture allows vehicles to collect and store information in the cloud; it also provides a mechanism for rewarding vehicles that contributing to the cloud. Privacy preserving message dissemination in VANETs: Sometimes, it is sufficient to ensure the anonymity of the vehicles disseminating messages in VANETs. We present a privacy preserving message dissemination protocol for VANETs

Certificate status information distribution and validation in vehicular networks

Vehicular ad hoc networks (VANETs) are emerging as an functional technology for providing a wide range of applications to vehicles and passengers. Ensuring secure functioning is one of the prerequisites for deploying reliable VANETs. The basic solution envisioned to achieve these requirements is to use digital certificates linked to a user by a trusted third party. These certificates can then be used to sign information. Most of the existing solutions manage these certificates by means of a central Certification Authority (CA). According to IEEE 1609.2 standard, vehicular networks will rely on the public key infrastructure (PKI). In PKI, a CA issues an authentic digital certificate for each node in the network. Therefore, an efficient certificate management is crucial for the robust and reliable operation of any PKI. A critical part of any certificate-management scheme is the revocation of certificates. The distribution of certificate status information process, as well as the revocation process itself, is an open research problem for VANETs.In this thesis, firstly we analyze the revocation process itself and develop an accurate and rigorous model for certificate revocation. One of the key findings of our analysis is that the certificate revocation process is statistically self-similar. As none of the currently common formal models for revocation is able to capture the self-similar nature of real revocation data, we develop an ARFIMA model that recreates this pattern. We show that traditional mechanisms that aim to scale could benefit from this model to improve their updating strategies.Secondly, we analyze how to deploy a certificate status checking service for mobile networks and we propose a new criterion based on a risk metric to evaluate cached status data. With this metric, the PKI is able to code information about the revocation process in the standard certificate revocation lists. Thus, users can evaluate a risk function in order to estimate whether a certificate has been revoked while there is no connection to a status checking server. Moreover, we also propose a systematic methodology to build a fuzzy system that assists users in the decision making process related to certificate status checking.Thirdly, we propose two novel mechanisms for distributing and validating certificate status information (CSI) in VANET. This first mechanism is a collaborative certificate status checking mechanism based on the use based on an extended-CRL. The main advantage of this extended-CRL is that the road-side units and repository vehicles can build an efficient structure based on an authenticated hash tree to respond to status checking requests inside the VANET, saving time and bandwidth. The second mechanism aims to optimize the trade- off between the bandwidth necessary to download the CSI and the freshness of the CSI. This mechanism is based on the use of a hybrid delta-CRL scheme and Merkle hash trees, so that the risk of operating with unknown revoked certificates remains below a threshold during the validity interval of the base-CRL, and CAs have the ability to manage this risk by setting the size of the delta-CRLs. Finally, we also analyze the impact of the revocation service in the certificate prices. We model the behavior of the oligopoly of risk-averse certificate providers that issue digital certificates to clients facing iden- tical independent risks. We found the equilibrium in the Bertrand game. In this equilibrium, we proof that certificate providers that offer better revocation information are able to impose higher prices to their certificates without sacrificing market share in favor of the other oligarchs.Las redes vehiculares ad hoc (VANETs) se están convirtiendo en una tecnología funcional para proporcionar una amplia gama de aplicaciones para vehículos y pasajeros. Garantizar un funcionamiento seguro es uno de los requisitos para el despliegue de las VANETs. Sin seguridad, los usuarios podrían ser potencialmente vulnerables a la mala conducta de los servicios prestados por la VANET. La solución básica prevista para lograr estos requisitos es el uso de certificados digitales gestionados a través de una autoridad de certificación (CA). De acuerdo con la norma IEEE 1609.2, las redes vehiculares dependerán de la infraestructura de clave pública (PKI). Sin embargo, el proceso de distribución del estado de los certificados, así como el propio proceso de revocación, es un problema abierto para VANETs.En esta tesis, en primer lugar se analiza el proceso de revocación y se desarrolla un modelo preciso y riguroso que modela este proceso conluyendo que el proceso de revocación de certificados es estadísticamente auto-similar. Como ninguno de los modelos formales actuales para la revocación es capaz de capturar la naturaleza auto-similar de los datos de revocación, desarrollamos un modelo ARFIMA que recrea este patrón. Mostramos que ignorar la auto-similitud del proceso de revocación lleva a estrategias de emisión de datos de revocación ineficientes. El modelo propuesto permite generar trazas de revocación sintéticas con las cuales los esquemas de revocación actuales pueden ser mejorados mediante la definición de políticas de emisión de datos de revocación más precisas. En segundo lugar, se analiza la forma de implementar un mecanismo de emisión de datos de estado de los certificados para redes móviles y se propone un nuevo criterio basado en una medida del riesgo para evaluar los datos de revocación almacenados en la caché. Con esta medida, la PKI es capaz de codificar la información sobre el proceso de revocación en las listas de revocación. Así, los usuarios pueden estimar en función del riesgo si un certificado se ha revocado mientras no hay conexión a un servidor de control de estado. Por otra parte, también se propone una metodología sistemática para construir un sistema difuso que ayuda a los usuarios en el proceso de toma de decisiones relacionado con la comprobación de estado de certificados.En tercer lugar, se proponen dos nuevos mecanismos para la distribución y validación de datos de estado de certificados en VANETs. El primer mecanismo está basado en el uso en una extensión de las listas estandares de revocación. La principal ventaja de esta extensión es que las unidades al borde de la carretera y los vehículos repositorio pueden construir una estructura eficiente sobre la base de un árbol de hash autenticado para responder a las peticiones de estado de certificados. El segundo mecanismo tiene como objetivo optimizar el equilibrio entre el ancho de banda necesario para descargar los datos de revocación y la frescura de los mismos. Este mecanismo se basa en el uso de un esquema híbrido de árboles de Merkle y delta-CRLs, de modo que el riesgo de operar con certificados revocados desconocidos permanece por debajo de un umbral durante el intervalo de validez de la CRL base, y la CA tiene la capacidad de gestionar este riesgo mediante el ajuste del tamaño de las delta-CRL. Para cada uno de estos mecanismos, llevamos a cabo el análisis de la seguridad y la evaluación del desempeño para demostrar la seguridad y eficiencia de las acciones que se emprenden

Blockchain-Enabled Federated Learning Approach for Vehicular Networks

Data from interconnected vehicles may contain sensitive information such as location, driving behavior, personal identifiers, etc. Without adequate safeguards, sharing this data jeopardizes data privacy and system security. The current centralized data-sharing paradigm in these systems raises particular concerns about data privacy. Recognizing these challenges, the shift towards decentralized interactions in technology, as echoed by the principles of Industry 5.0, becomes paramount. This work is closely aligned with these principles, emphasizing decentralized, human-centric, and secure technological interactions in an interconnected vehicular ecosystem. To embody this, we propose a practical approach that merges two emerging technologies: Federated Learning (FL) and Blockchain. The integration of these technologies enables the creation of a decentralized vehicular network. In this setting, vehicles can learn from each other without compromising privacy while also ensuring data integrity and accountability. Initial experiments show that compared to conventional decentralized federated learning techniques, our proposed approach significantly enhances the performance and security of vehicular networks. The system's accuracy stands at 91.92\%. While this may appear to be low in comparison to state-of-the-art federated learning models, our work is noteworthy because, unlike others, it was achieved in a malicious vehicle setting. Despite the challenging environment, our method maintains high accuracy, making it a competent solution for preserving data privacy in vehicular networks.Comment: 7 page

SECURITY, PRIVACY AND APPLICATIONS IN VEHICULAR AD HOC NETWORKS

With wireless vehicular communications, Vehicular Ad Hoc Networks (VANETs) enable numerous applications to enhance traffic safety, traffic efficiency, and driving experience. However, VANETs also impose severe security and privacy challenges which need to be thoroughly investigated. In this dissertation, we enhance the security, privacy, and applications of VANETs, by 1) designing application-driven security and privacy solutions for VANETs, and 2) designing appealing VANET applications with proper security and privacy assurance. First, the security and privacy challenges of VANETs with most application significance are identified and thoroughly investigated. With both theoretical novelty and realistic considerations, these security and privacy schemes are especially appealing to VANETs. Specifically, multi-hop communications in VANETs suffer from packet dropping, packet tampering, and communication failures which have not been satisfyingly tackled in literature. Thus, a lightweight reliable and faithful data packet relaying framework (LEAPER) is proposed to ensure reliable and trustworthy multi-hop communications by enhancing the cooperation of neighboring nodes. Message verification, including both content and signature verification, generally is computation-extensive and incurs severe scalability issues to each node. The resource-aware message verification (RAMV) scheme is proposed to ensure resource-aware, secure, and application-friendly message verification in VANETs. On the other hand, to make VANETs acceptable to the privacy-sensitive users, the identity and location privacy of each node should be properly protected. To this end, a joint privacy and reputation assurance (JPRA) scheme is proposed to synergistically support privacy protection and reputation management by reconciling their inherent conflicting requirements. Besides, the privacy implications of short-time certificates are thoroughly investigated in a short-time certificates-based privacy protection (STCP2) scheme, to make privacy protection in VANETs feasible with short-time certificates. Secondly, three novel solutions, namely VANET-based ambient ad dissemination (VAAD), general-purpose automatic survey (GPAS), and VehicleView, are proposed to support the appealing value-added applications based on VANETs. These solutions all follow practical application models, and an incentive-centered architecture is proposed for each solution to balance the conflicting requirements of the involved entities. Besides, the critical security and privacy challenges of these applications are investigated and addressed with novel solutions. Thus, with proper security and privacy assurance, these solutions show great application significance and economic potentials to VANETs. Thus, by enhancing the security, privacy, and applications of VANETs, this dissertation fills the gap between the existing theoretic research and the realistic implementation of VANETs, facilitating the realistic deployment of VANETs