Efficient Certificateless Conditional Privacy-Preserving Authentication Scheme in VANETs

A vehicular ad hoc network (VANET) is a special kind of mobile ad hoc networks (MANET) that supports cooperative driving among communicating cars on the roads. There are several technologies involved in implementation of wireless communication in VANETs. These technologies include 3G cellular systems, long-term evolution (LTE), LTE Advanced, IEEE 802.16, and IEEE 802.11. This chapter focuses on 802.11-based wireless communication in VANETs. It reviews some presented methods for vehicle movement path prediction, and explains some algorithms are explained for performance improvement in opportunistic networks based on the predicted vehicle movements. The chapter considers the fact that communication in VANETs can be infrastructure-based or infrastructureless. It also reviews some methods to apply the predicted vehicles' position for improving communication in infrastructure-based and infrastructureless VANETs, respectively. Opportunistic routing algorithms can be classified according to their dependency on roadside infrastructure. The chapter presents the taxonomy of opportunistic routing in VANETs.

Vehicular ad-hoc network (VANET) technology enables communication between vehicles, or vehicles and road-side units (RSUs) through wireless communication devices installed on the vehicles. One of the most important goals of VANETs is providing safety applications for passengers. In addition, VANETs provide comfort applications to users. Guaranteeing a reliable and stable routing protocol over VANETs is a very important step. The proposed research attempts to improve routing protocols that decrease the end-to-end delay to suit VANET communication characteristics. In addition, it proposes analysis of the end-to-end delay probability distribution. More specifically, we derive a closed-form expression for the probability distribution of the re-healing delay in a VANET conditioned on the distance between two VANET clusters. Furthermore, we propose a closed-form expression for the probability distribution of the unconditional re-healing delay. Moreover, we develop a mathematical model to calculate the probability distribution of the end-to-end delay. On the other hand, using Unmanned Aerial Vehicles (UAVs) or drones in wireless communications and Vehicular Ad-hoc Networks (VANETs) has started to attract attention. We propose a routing protocol that uses infrastructure drones for boosting VANET communications to achieve a minimum vehicle-to-drone packet delivery delay. In addition, we propose a closed-form expression for the probability distribution of the vehicle-to-drone packet delivery delay on a two-way highway. Moreover, based on that closed-form expression, we can calculate the minimum drone density (maximum separation distance between two adjacent drones) that stochastically limits the worst case of the vehicle-to-drone packet delivery delay. Furthermore, we propose a drones-active service (DAS) that is added to the location service in a VANET. This service dynamically and periodically obtains the required number of active drones based on the current highway connectivity state by obtaining the maximum distance between each two adjacent drones while satisfying a probabilistic constraint for vehicle-todrone packet delivery delay. Our analysis focuses on two-way highway VANET networks with low vehicular density. The simulation results show the accuracy of our analysis and reflect the relation between the drone density, vehicular density and speed, other VANET parameters, and the vehicle-to-drone packet delivery delay. In addition, we propose a new routing protocol called multi-copy intersection-based routing (MCIR) for vehicular ad-hoc networks (VANETs) in urban areas. MCIR is an intersectionbased routing protocol that forwards multiple copies of the packets in different road segments. Moreover, it is a beacon-less routing protocol with a carry-and-forward strategy. We show via simulation that the MCIR protocol is superior to other existing routing protocols, especially in low vehicular density scenarios. The results show that MCIR achieves a shorter end-to-end delay and a higher packet delivery ratio in urban VANET communications.

An efficient identity-based signature scheme without bilinear pairing for vehicle-to-vehicle communication in VANETs

VANET (Vehicular Ad hoc Networks) enable on-road wireless communication using vehicular and road-based electronic infrastructure. The services provided include routine traffic information dissemination aimed at ensuring safe driving while offering payment systems, and entertainment services are also part of VANET services. Ensuring secure, cost-effective VANET communication is a key research focus. A mechanism for unidentified message transmission, reciprocal vehicular and road base verification, as well as highly secure authentication by a trusted party, preservation of confidentiality of messages, recovery of the identity of vehicle by a trusted authority in unfortunate events, and low set up cost, is the prerequisite for trusted vehicular communication in VANET. The technique of Chameleon hashing signature provides message security with frequent changing of keys. The validation of vehicular identity in group-based communication is centralized using group signature and time stamping. This study proposes a framework combining chameleon hash signatures with group signatures to enhance VANET communication privacy, security, and cost-effectiveness.

A type of ad hoc network formed among moving vehicles that come in one another’s radio transmission range is called Vehicular Ad Hoc Network (VANET). VANET may be deployed using three architectures: pure ad hoc, WLAN and hybrid. Vehicle to Vehicle (V2V) and Vehicle to Infrastructure (V2I) are the two modes in VANET used for communication among vehicles. These features not only distinguish a VANET from other ad hoc networks but also make these networks more exposed to attacks and increase their complexity. These networks being the primary mechanism for communication in VANETs, appropriate and timely delivery of information is of prime importance. Due to the existence of various vehicular traffic scenarios, a single category of routing protocols is not sufficient for the VANETs. Therefore, various categories of routing protocols have been tailored to meet specific kinds of routing requirements in this framework. Most significant ones are ad hoc/topology-based, position-based, geocast-based, cluster-based, broadcast-based protocols. There exist a number of attacks that apart from affecting various other parameters also affect the routing protocols in these VANETs. Most of these attacks may be launched in all the above-mentioned three architectures. But, one of the most dangerous attacks is the Sybil attack that may be initiated in pure ad hoc deployment of VANET where vehicles communicate with one another in one to one manner using carry forward approach. In this paper, with the help of illustrative example for each of the five categories of routing protocols, we show how Sybil attack affects these protocols. Considering the ad hoc scenarios in VANETs, we also discuss a prevention mechanism for the Sybil attack briefly.

Vehicular ad hoc networks (VANETs), an application of the Internet of Things (IoT) providing a better intelligent transportation system (ITS), has received substantial attention from both industry and academia. Heterogeneous vehicular communications in VANETs occur when both vehicles and the infrastructure use different cryptographic technologies to exchange safety messages. However, the safety messages between vehicles and the infrastructure are communicated wirelessly; therefore, security issues are a serious concern in this domain. The existing schemes secure the transmission of safety messages with respect to confidentiality, authentication, and nonrepudiation. However, they are inappropriate with respect to efficiency. They cause computational overhead on the receiver and bandwidth overhead in the communications. To cope with this, we propose an elliptic curve cryptosystem-based hybrid signcryption (ECCHSC) protocol that satisfies the security requirements (i.e., message confidentiality, message’s source authentication, message integrity, nonrepudiation, and identity–anonymity) for heterogeneous vehicle-to-infrastructure (V2I) communications in a single logical step. This protocol allows secure transmission of a safety message from a vehicle using identity-based cryptography (IDC) to a roadside unit (RSU) using public-key infrastructure (PKI). In addition, the ECCHSC protocol enables the RSU to receive multiple ciphertexts, aggregate them, and de-signcrypt them simultaneously through the batch de-signcryption method, which further improves the performance. The ECCHSC protocol has indistinguishability against adaptive chosen ciphertext attacks (IND-CCA2) and existential unforgeability against adaptive chosen message attacks (EUF-CMAs) in the random oracle model (ROM). The performance analysis of our protocol demonstrates a significant reduction in computational overhead and in communication/storage overhead as compared to the state-of-the-art schemes.

Reliability is an important issue for safety-critical broadcast services in vehicular ad hoc networks (VANETs). So far, most investigations of such broadcast networks focus on multihop connectivity, taking all one-hop links for granted. In this paper, four reliability metrics for one-hop broadcast communication in VANETs, including the packet reception rate (PRR), the packet delivery ratio (PDR), the node successful packet delivery probability (PDP), and the effective range (ER), are introduced and evaluated analytically and by simulations. Expressions of these reliability metrics for one-hop broadcast in IEEE-802.11-based 1-D VANETs are derived with consideration of the IEEE 802.11 distributed coordination function (DCF), the hidden terminal problem, and collisions caused by concurrent transmissions. The impacts of network parameters such as distinct transmission, carrier sensing, and interference ranges; the density of nodes in the networks; the distances of receivers to the senders; the message generation rates; the backoff window sizes; and the channel data rates on the reliability of the broadcast communication in VANETs are investigated and discussed. As an example, the proposed model is applied to the evaluation of the dedicated short-range communication (DSRC) safety-critical message propagation in a highway setting. As a result, some important observations to the design and analysis of such communication systems are provided.

VANETs are targeted to improve the traffic safety and driving experience on the road. Vehicular connectivity based communication in VANETs to be used for safety critical, safety related and non safety related messages dissemination in the networks. A key challenge in developing such network connectivity mechanism is that quickly adaptation the changes in the network topology due to the vehicular mobility. In this work we investigate the feasibility of developing the location based network connectivity for communication in VANETs in the spatial localized time domain for safety applications. The vehicular mobility and maximization of network connectivity duration between the vehicles have been identified as two important design goals in this work. However, these two goals are in conflict in nature, which makes it challenging to achieve both of these two goals in VANETs. To balance the trade-off between vehicular mobility and network connectivity, the average number of vehicle links, average link duration and connection time of each vehicle is ensured and subject to this constraint, aggregate network connectivity is maximized for efficient communication in VANETs.KeywordsMedium access control (MAC)Vehicular ad hoc networks (VANETs)Vehicular connectivity

Vehicular ad-hoc networks (VANET) are the key to advancing intelligent transportation and reducing traffic congestion. Nevertheless, the rapid increase in vehicle diversity introduces numerous challenges to maintaining secure and efficient vehicle communications. To address these challenges, we propose a new identity-based encryption scheme (IBES) based on lattice-based cryptography for secure communication in VANETs. Our scheme ensures timely message receipt, preserves the confidentiality of vehicle identity, and enables rapid authentication. Our scheme protects VANET devices against both active and passive attacks in their resource-constrained environment. The formal analysis verifies that adaptively chosen message attacks cannot break the encryption scheme using the random oracle model. The informal analysis shows that the scheme meets the security goals and is strong enough to protect against side-channel, man-in-the-middle (MITM), and replay attacks. Additionally, the SCYTHER tool is used for formal security validation, and the security analysis shows that the protocol is strong against chosen-plaintext attacks. We evaluate the effectiveness of the proposed scheme against existing approaches, focusing on the security attributes offered, computation, and communication cost. Our scheme shows lower storage overhead and higher authentication efficiency than similar existing schemes. Therefore, this combination establishes the proposed scheme as an efficient and practical solution for VANET.

Intelligent transportation system (ITS) applications may rely on the reliable infrastructure that vehicular ad hoc networks (VANETs) offer. Roadside units (RSUs) are the main component of vehicle-to-vehicle and vehicle-to-infrastructure links in VANET communication. When cognitive radio (CR) VANET investigations were analysed, two major performance problems were found: low connection stability because of the high vehicle movement and excessive energy consumption. We suggest a fresh strategy to deal with these issues: Mobility and Link Reliability Estimation Using CSS AND ML CR-VANETs, known as MLRECSS CR-VANET. MLRECSS CR-VANET consists of four main components: CR-VANET construction, Cooperative spectrum Sensing model, Speed-based mobility prediction, link-based multipath routing. First, we create CSS-based CR-VANETs to examine and address issues with power consumption and spectrum scarcity in VANETs. Vehicle speed forecasts and fluctuations are assessed via mobility prediction. Lastly, routing is made reliable and effective by utilizing the machine learning and ad hoc on-demand multipath distance vector (AOMDV) routing protocol in combination with link stability based multipath routing (LSMR). MLRECSSCR-VANET technique outperforms the previous methods by 3.69% in terms of packet delivery ratio,7.21% in terms of residual energy, 6.09% in terms of throughput, 8.33% in terms of residual node speed and 13.97% in terms of energy efficiency. Comparing it to more contemporary efforts like LMCCR-VANET, SCCR-VANET, CFCR-VANET, and MMCR-VANET, it shows improved energy efficiency, delivery rates, decreased energy consumption, end-to-end latency, and routing overhead.

The technology is growing towards smart communication through smart devices. This smart communication leads to the development of Vehicular Ad Hoc Network (VANET). These days each vehicle is acting as a smart device which could establish a smart communication among the vehicles. The growth of VANET communication passes through various stages such as RoadSide Unit (RSU), Vehicle to Vehicle (V2V), Cluster based, Internet of Vehicles (IoV), and Web VANET (WVANET) Communication models. All these advancements in VANET architecture provide a smart communication among the vehicles. The vital aim of VANET architecture is to provide an efficient and effective emergency and warning alerts to the vehicles so that the vehicle can take appropriate decisions without any delay to safeguard the safety of the passengers. However, it will be more reliable to the vehicles if the VANET architecture could provide a live emergency and warning alerts to the vehicles in well ahead of time. In order to provide live emergency and warning alerts the communication as well as the device should be smart. In this paper, we have developed a live emergency and warning alerts to the vehicles though android application. Each vehicle will have the android application installed on it, in which the entire live driving scenario is provided. Once, the live driving scenario is provided, the live emergency and warning alerts can be shown to the vehicles in well ahead of time. As live emergency alerts are shown to the vehicles, it will help the vehicles to take the right decision more effectively.

Vehicular Ad hoc Networks (VANET) broadcast messages regarding road and environmental conditions. Due to its design, VANET inadvertently introduced security and privacy issues. Many researchers have suggested various approaches to address these shortcomings as the deployment of VANET becomes more widespread. Nevertheless, these solutions could not address all the security and privacy shortcomings in VANET. Furthermore, the proposed approaches incur high costs in terms of computation due to the complexity involved in doing so sequentially. One of the significant approaches used in VANET security and privacy mitigation is identity-based schemes. This paper provides a comprehensive survey on VANETs and the entities involved, attack models, and an analysis of the security and privacy requirements for identity-based security and privacy schemes for VANETs.

The rapid development of 5G networks has made smart driving possible. The vehicular ad-hoc networks (VANETs) are the main environment for smart driving, providing road information, instant communication between vehicle and vehicle (V2V) or vehicle and infrastructure (V2I). The information interaction security of VANETs is critical to the proper functioning of the traffic. Much research in recent years has focused on secure communication in VANETs, especially the secure V2V or V2I communications. However, current security schemes often require complex identity re-authentication when vehicles enter a new infrastructure coverage, which greatly reduces the efficiency of the entire network. In addition, the emergence of blockchain has created opportunities to overcome the challenges in VANETs mentioned above. In this article, blockchain is utilized to enhance the scalability of the trustworthiness scalable computation. The proposed blockchain assisted trustworthiness scalable computation based V2I authentication (B-TSCA) scheme achieves rapid re-authentication of vehicles through secure ownership transfer between infrastructures. Note that, trustworthiness scalable computation assisted by blockchian technology ensures the decentralization and non tamperability of the scalable computation result. The security analysis indicates that B-TSCA scheme is a CDH-secure scheme. The time cost of the novel handover authentication phase is half of that of the initial one as is presented in the simulation.

ID-CEPPA: Identity-based Computationally Efficient Privacy-Preserving Authentication scheme for vehicle-to-vehicle communications

In vehicular ad hoc networks (VANETs), vehicles communicate with each other and with roadside units (RSUs) in order to enhance road safety, improve traffic management and provide infotainment services. Along with the growth of VANETs, some challenges are emerging. Although there are many research work on VANETs, cheating attacks are still not well resolved such as selective message relaying attack, faked information reporting attack and resource-consuming attack launched by selfish or malicious participants. To deal with this kind of attacks, we present two novel lightweight security mechanisms by equipped each vehicle's On-Board Unit (OBU) with a small elegant module called TrInc, which is a trusted hardware and composed of only a non-decreasing counter and a key. We observe that TrInc-based method not only can effectively resist against cheating attacks in safety- oriented, convenience-oriented, and commercial-oriented VANET applications, but also significantly defend various aspects of security and privacy in VANETs. Compared with previous works, our proposal features low communication and computation overhead, less memory requirements, and good network scalability.