Security In Vehicular Ad Hoc Networks Research Articles

Design and Modelling of hybrid network security method for increasing security in vehicular ad-hoc network

Vehicular Ad Hoc Networks (VANETs) are becoming more commonplace as a means for cars to communicate and share data on things like traffic patterns, road conditions, and travel times and speeds. Therefore, one of the key issues facing academics now is ensuring data communication safety in VANET. There are several privacy-preserving verification techniques for VANETs. However, they do have complex calculations and safety issues. This research presented an operating platform for the 5G-based VANET architecture that combines Software-Defined Networking (SDN) with Self-Organizing Maps (SOM). The proposed system provides SOM and SDN-based network (SOM-SDN) solutions that will improve safety in two dimensions by spotting and stopping threats. First, this research examines the network's efficiency threats while considering Distributed Denial of Service (DDoS) threats. The suggested system's safety was then compared with current DDoS attacks. Additionally, the proposed method is strong enough to fend off typical assaults and maintain the communication information's secrecy, thanks to an examination of its security qualities. The efficiency comparisons' outcomes demonstrate the suggested procedure's light and effectiveness. Additionally, the suggested model using SUMO and NS-3 demonstrates how effective and useful the method is for VANETs. The proposed study shows a 92% improvement in performance, a 4% reduction in end-to-end latency, a 92% improvement in transmission outbound, a 98% improvement in packet transmission rate, and a 94% improvement in the enumeration of bounce compared to prior studies.

LSKA-ID: A lightweight security and key agreement protocol based on an identity for vehicular communication

Recently, a huge effort has been pushed to the wireless broadcasting nature in the open area. However, the vehicular ad hoc network (VANET) is disposed to various kinds of attacks. Hence, keeping the security in VANET is the most critical issue because of the VANET network related to human life. Thus, we propose a robust and lightweight security and key agreement-based identity protocol LSKA-ID for vehicular communication. Our protocol utilizes the elliptic curve cryptography, Chinese reminder theorem, and identity (ID)-based cryptosystem to resolve the issues found in the previously proposed schemes, in which our protocol can resolve the key escrow issues accompanied in most ID-based schemes. Also, it does not need batch verification operations, which cause some problems to the verifier in case the batch beacons have one or more illegal beacons. Moreover, the LSKA-ID protocol addresses the dependency on the trusted authority (TA) during the high frequent handover between the groups that may cause a bottleneck problem on the TA. The security analysis proves the correctness of the LSKA-ID protocol by using the random oracle model and has shown to be effective in a performance evaluation.

Security Compliant and Cooperative Pseudonyms Swapping for Location Privacy Preservation in VANETs

Vehicular Ad-hoc Networks (VANETs) are an essential part of the Intelligent Transportation System (ITS). VANETs promise to offer drivers and passengers safety, traffic efficiency, and infotainment services. To this end, VANETs require vehicles to periodically broadcast unencrypted beacon messages that contain position, velocity, timestamp, and identity. Consequently, VANETs naturally expose users' identities and locations, facilitating tracking by an adversary. To address VANETs location privacy issues, researchers have proposed different pseudonym-based privacy-preserving techniques in the literature. One of the techniques is pseudonym swap. In pseudonym swap techniques, vehicles exchange pseudonyms with each other hence fewer pseudonyms for each vehicle since vehicles can reuse pseudonyms. However, existing pseudonym swap-based schemes either exchange pseudonyms via Roadside Units (RSUs) or ignore VANETs' security requirements by not informing the Certification Authority of the exchanges. Hence, they suffer from high RSUs deployment costs, inflexibility to location privacy preservation, unaccountability, and repudiation attacks. Moreover, the lower level of location privacy provided by the schemes demands further improvements. Therefore, we propose a novel pseudonym swap scheme that uses swappable and non-swappable pseudonyms to attain infrastructure independence while adhering to VANET security requirements. In this scheme, vehicles, independent of RSUs, cooperatively swap and change pseudonyms within mix-contexts having a high level of location privacy. Each exchange is then reported to the authority to enforce accountability and non-repudiation. Besides adhering to VANET security requirements, the simulation experiments show that our scheme outperforms existing pseudonym swap schemes, providing VANET users with a high level of location privacy.

An authentication and signature scheme for UAV-assisted vehicular ad hoc network providing anonymity

Cybersecurity is a hot issue in our times. People try to keep digital attacks away from cyberspace, to finish the task of cybersecurity. A vehicular ad hoc network (VANET) with drone assistance is an important part of cyberspace, which can be used in disastrous or rural areas. The data produced on the vehicle side should go through different channels to the central server for processing. However, various attacks may occur in communication, and the tasks of data security in VANETs attract researchers to solve them. Although, researchers have come up with various solutions to overcome the flaws, the various security loopholes are still needed to be addressed. In this paper, we present a new and secure signature-based scheme for UAV-assisted VANETs, which can ensure that the produced data on the vehicles are transmitted securely. Also, the identities of vehicles can be tracked, if they should be monitored by the police. We present the formal and informal security analysis of the proposed scheme to prove its security against well-known security attacks. The formal security analysis is presented based on the widely used random oracle model. The informal analysis is presented using the assumptions of the threat model. Also, Proverif is used to illustrate the security of our scheme under Dolev-Yao model. Furthermore, we present a detailed performance analysis of the proposed protocol along with a simulation to show that the proposed scheme is practical.

FSCB-IDS: Feature Selection and Minority Class Balancing for Attacks Detection in VANETs

Vehicular ad hoc networks (VANETs) are used for vehicle to vehicle (V2V) and vehicle to infrastructure (V2I) communications. They are a special type of mobile ad hoc networks (MANETs) that can share useful information to improve road traffic and safety. In VANETs, vehicles are interconnected through a wireless medium, making the network susceptible to various attacks, such as Denial of Service (DoS), Distributed Denial of Service (DDoS), or even black hole attacks that exploit the wireless medium to disrupt the network. These attacks degrade the network performance of VANETs and prevent legitimate users from accessing resources. VANETs face unique challenges due to the fast mobility of vehicles and dynamic changes in network topology. The high-speed movement of vehicles results in frequent alterations in the network structure, posing difficulties in establishing and maintaining stable communication. Moreover, the dynamic nature of VANETs, with vehicles joining and leaving the network regularly, adds complexity to implementing effective security measures. These inherent constraints necessitate the development of robust and efficient solutions tailored to VANETs, ensuring secure and reliable communication in dynamic and rapidly evolving environments. Therefore, securing communication in VANETs is a crucial requirement. Traditional security countermeasures are not pertinent to autonomous vehicles. However, many machine learning (ML) technologies are being utilized to classify malicious packet information and a variety of solutions have been suggested to improve security in VANETs. In this paper, we propose an enhanced intrusion detection framework for VANETs that leverages mutual information to select the most relevant features for building an effective model and synthetic minority oversampling (SMOTE) to deal with the class imbalance problem. Random Forest (RF) is applied as our classifier, and the proposed method is compared with different ML techniques such as logistic regression (LR), K-Nearest Neighbor (KNN), decision tree (DT), and Support Vector Machine (SVM). The model is tested on three datasets, namely ToN-IoT, NSL-KDD, and CICIDS2017, addressing challenges such as missing values, unbalanced data, and categorical values. Our model demonstrated great performance in comparison to other models. It achieved high accuracy, precision, recall, and f1 score, with a 100% accuracy rate on the ToN-IoT dataset and 99.9% on both NSL-KDD and CICIDS2017 datasets. Furthermore, the ROC curve analysis demonstrated our model’s exceptional performance, achieving a 100% AUC score.

Achieving model explainability for intrusion detection in VANETs with LIME.

Vehicular ad hoc networks (VANETs) are intelligent transport subsystems; vehicles can communicate through a wireless medium in this system. There are many applications of VANETs such as traffic safety and preventing the accident of vehicles. Many attacks affect VANETs communication such as denial of service (DoS) and distributed denial of service (DDoS). In the past few years the number of DoS (denial of service) attacks are increasing, so network security and protection of the communication systems are challenging topics; intrusion detection systems need to be improved to identify these attacks effectively and efficiently. Many researchers are currently interested in enhancing the security of VANETs. Based on intrusion detection systems (IDS), machine learning (ML) techniques were employed to develop high-security capabilities. A massive dataset containing application layer network traffic is deployed for this purpose. Interpretability technique Local interpretable model-agnostic explanations (LIME) technique for better interpretation model functionality and accuracy. Experimental results demonstrate that utilizing a random forest (RF) classifier achieves 100% accuracy, demonstrating its capability to identify intrusion-based threats in a VANET setting. In addition, LIME is applied to the RF machine learning model to explain and interpret the classification, and the performance of machine learning models is evaluated in terms of accuracy, recall, and F1 score.

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

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.

Floyd–Warshalls algorithm and modified advanced encryption standard for secured communication in VANET

Vehicular Ad Hoc Networks (VANETs), which have the strategic goal of ensuring service delivery on roads and smart cities, are made up of a number of critical components, including the integration and communication between vehicles, sensors, and stationary road-side components. VANETs have many distinctive characteristics, including quick movable nodes, self-organization, scattered networks, and often changing topologies. Since attack prevention is still a contentious topic, security, data integrity, and user private information continue to be major concerns despite the recent development of VANETs. In particular, detecting Sybil attacks, in which one node attempts to appear as many, seemingly conflicts with the goal of privacy preservation, and existing schemes fail on either one or both accounts. In order to prevent Sybil attacks, VANETs assert that they have security measures in place. A new framework for VANET security and sybil attack detection was developed in this study. It groups the cars together using Kernel k-harmonic means (KKHM). Kernel functions are here included into the k-means problem's cost function via kernelizing in the feature space. Cluster centres are believed to exist in a higher level Hilbert space called the feature space. Using the Floyd-Warshall algorithm (FWA), cluster heads are chosen. The Deep Neural Network (DNN) is used to identify the malicious CH by extracting the necessary information from the CH. For the purpose of optimizing DNN parameters, a new technique known as gradient-based elephant herding optimization (GBEHO) is presented. To initialize the population in the search space, the gradient-based method GBO is paired with the elephant optimization algorithm (EHO). Second, by including Gaussian chaos mapping, the initialized population is enhanced in order to correct the disparity between the first exploration and utilization of the EHO. Additionally, two operators are programmed to modify the agents' position update strategy: the random wandering and variation operators. Last but not least, the Modified Advanced Encryption Standard (MAES) is used to send the data in the CH safely to the cloud. According on experimental findings, the suggested model increases the security rate of 96% and reduces the encryption time of 19(s) for 100 (kb) data which is better when compared to other existing models.

A Novel Identity-Based Privacy-Preserving Anonymous Authentication Scheme for Vehicle-to-Vehicle Communication

This paper proposes a novel bilinear pairing-free identity-based privacy-preserving anonymous authentication scheme for vehicle-to-vehicle (V2V) communication, called “NIBPA”. Today, vehicular ad hoc networks (VANETs) offer important solutions for traffic safety and efficiency. However, VANETs are vulnerable to cyberattacks due to their use of wireless communication. Therefore, authentication schemes are used to solve security and privacy issues in VANETs. The NIBPA satisfies the security and privacy requirements and is robust to cyberattacks. It is also a pairing-free elliptic curve cryptography (ECC)-based lightweight authentication scheme. The bilinear pairing operation and the map-to-point hash function in cryptography have not been used because of their high computational costs. Moreover, it provides batch message verification to improve VANETs performance. The NIBPA is compared to existing schemes in terms of computational cost and communication cost. It is also a test for security in the random oracle model (ROM). As a result of security and performance analysis, NIBPA gives better results compared to existing schemes.

A Review on VANET Security: Future Challenges and Open Issues

Vehicular Adhoc Network (VANET) is an established technology that is well-suited for emerging technologies such as the Internet of Vehicles (IoV) and Unmanned Aerial Vehicles (UAVs). However, while VANET offers improved methods for addressing contemporary technology, it also presents significant challenges in providing adequate security measures for intended access. VANET operates on multiple execution platforms, such as roadside units, vehicle-tovehicle, vehicle-to-device, and vehicle-to-everything (V2X) communication. As a result, VANET must establish robust security measures for future purposes and strengthen protocol authentications to ensure secure data delivery and network-wide execution. In this work, we provide an overview of some of the recent security problems faced by VANET to raise awareness among developers and engineers about the specific security needs of VANET and how to avoid errors or intrusions when deploying VANETs in cities and urban areas. We cover topics such as the classification of security attacks, standard or security protocol problems and solutions, and the best feasible security criteria for extended VANETs. Finally, we discuss open issues and future VANET security developments or concerns.

BASRAC: An efficient batch authentication scheme with rule-based access control for VANETs

Security and privacy protection are important requirements of vehicular ad hoc networks (VANETs). In recent years, many authentication schemes have been proposed to solve the security and privacy issues in VANETs. However, almost all authentication schemes do not distinguish the vehicles with different zones' access rights. This paper proposes an efficient batch authentication scheme with rule-based access control for VANETs, named BASRAC, which provides access control during the authentication phase to prevent unauthorized vehicles from accessing zones' services. At the same time, BASRAC supports batch verification, which further improves the efficiency of authentication. Moreover, BASRAC ensures data confidentiality, which prevents the semi-trusted roadside unit (RSU) from obtaining useful service information. Security analysis shows that BASRAC is secure under the random oracle model and meets the security requirements of VANETs. Performance evaluation shows that, compared with the existing schemes, BASRAC cuts down the computational cost of signing, single verification, and batch verification by 58.05%-90.84%, 29.93%-69.61%, and 59.49%-77.65%, respectively. Moreover, BASRAC is more effective in communication overhead and performs better in the average message delay and RSU serving capability.

Elliptic-Curve based Crypto-Compression Scheme For Medical Videos in Connected Ambulance

Communication and collaboration in transport systems are overdeveloped through Vehicular Ad hoc Networks (VANET). In VANETs, various messages are sent to activate warnings about road accidents, sharp turns, traffic jams, etc. Data security in VANETs is then essential to prevent the intrusion of hackers. Although security and safety in VANETs have been the subject of several research works, some intelligent vehicles contain extremely sensitive data that require specific high-level and real-time security solutions. This is the case for connected medical ambulances in which surgery can be performed with the help of an outside doctor. In such cases, video is the most complicated type of data to handle due to its size, content, and structure. In this paper, an elliptical approach to video representation is introduced, and a video crypto-compression scheme is proposed. The scheme described is built on Elliptic Curve Cryptography, which demonstrates good performance in computer security in recent years.

A Lightweight and Conditional Privacy-Preserving Authenticated Key Agreement Scheme With Multi-TA Model for Fog-Based VANETs

Recently, the fog computing concept has been introduced into vehicular ad-hoc networks (VANETs) to formulate fog-based VANETs. Since the communication channels between vehicles and fog nodes are open and insecure, it is necessary to construct an authenticated key agreement (AKA) scheme for securing the channels. The existing AKA schemes have two main deficiencies. One is that the computational and communication overhead are not low enough to satisfy the requirements of delay-sensitive applications. The other is that the multi-trusted-authority (multi-TA) model has not been considered. To solve the deficiencies, we propose a lightweight and conditional privacy-preserving AKA scheme, where the main steps are designed with symmetric cryptography methods. The design can reduce the computational and communication overhead of the AKA process. Additionally, we consider the multi-TA model in the AKA process to solve the single-point-of-failure issue. By integrating Cuckoo filter into the multi-TA model, the secrecy of real identities of legal vehicles is guaranteed and the identity revocation function for illegal vehicles is supported in the AKA process. The security proof and analysis show that our proposed scheme satisfies the essential security and privacy requirements of VANETs. The performance analysis shows that our proposed scheme outperforms other related and represented schemes.

Trust Management in Vehicular Ad-Hoc Networks: Extensive Survey

Over the past few decades, Intelligent Transportation System (ITS) has become a vital and extensive element of daily human life and activity. Vehicular Ad hoc Networks (VANETs) have become the most promising components of ITS, which promises to enhance transport efficiency, passenger safety, and comfort by exchanging traffic and infotainment information to intelligent vehicles. Moreover, VANETs have emerged with new paradigms (e.g., Cloud, SDN (Software-Defined Networking), Fog computing, Blockchain, and AI (Artificial Intelligence) techniques) to provide strategic and secure communications to increase their reliability. Therefore, efficient and robust mechanisms, such as trust management, are essential requirements in VANETs. This survey provides an extensive overview of the VANET and trust management’s main concepts. After that, we briefly review existing surveys, followed by the significant challenges of security and trust in VANETs. Then, we identify, review, classify, summarize, and compare related approaches. Finally, we give some future research directions.

FA-AODV: Flooding Attacks Detection Based Ad Hoc On-Demand Distance Vector Routing Protocol for VANET

Vehicular Ad-Hoc Networks (VANET) is anticipated to be the most effective way of increasing performance and safety in transportation in the near future. VANETs are the sub-branch of Ad-Hoc Networks which provide safety and comfort features together with related services for the vehicle operators. RREQ flood attack mostly encountered in the literature for security of VANET. Due to the nature of the reactive protocols, the AODV routing protocol is quite open to attack types such as flood attack. Flood attacks occur in the network layer. The impact of flood attacks is not about victim nodes, it can be also affect the whole network. A malicious attack that could be carried out in VANET could cause accidents that would cause a serious disaster. A malicious node could penetrate into the IP addresses on a Flood Attack based User Datagram Protocol (UDP) to breakdown the data communication between two vehicles. The main purpose of this paper is to detect and prevent the flood attack, during the operation of the routing protocol and to decrease the end-to-end delay on the network.

Intrusion Detection System-Based Security Mechanism for Vehicular Ad-Hoc Networks for Industrial IoT

Security is an absolutely crucial aspect of any Industrial Internet of Things (IIoT) network that must be considered carefully to protect users while allowing for proper, error-free functioning of the entire network. Vehicular ad-hoc networks (VANETs) are a type of network that has emerged with the aim of strengthening the available intelligent transportation systems. Enhancing overall security in VANETs should be a top priority as problems in these networks can put lives at risk. Various security frameworks and solutions including the use of intrusion detection systems (IDS) have been proposed in the literature by researchers across the globe. In this study, the various challenges and problems associated with IDS usage in VANETs are thoroughly examined. In order to enhance the detection capabilities of IDS such that they can detect both existing and zero-day unknown attacks, we present a novel approach that makes use of honeypots in addition to conventional IDS to improve VANET security. We believe our honeypot-based IDS solution for VANETs will prove itself by enhancing overall detection rates while consuming fewer resources. Various design considerations like the optimal number of honeypot nodes, deployment locations of those nodes, type of IDS to be used, etc., are discussed herein. The main objective behind this study is to explore the various types of IDS already being used in VANETs for intrusion detection as well as to understand the challenges and benefits each approach offers, we hope that this work will become a valuable resource for researchers working in this field in the future.

On trust management in vehicular ad hoc networks: A comprehensive review

Security issues have always posed a major threat and challenge to the Internet of Things (IoTs), especially the vehicular ad-hoc networks (VANETs), a subcategory of IoTs in the automotive field. The traditional methods to solve these ever-growing security issues in VANETs are mainly cryptography-based. As an effective and efficient complement to those solutions, trust management solutions and reputation models have been widely explored to deal with malicious or selfish vehicle intrusion and forged data spoofing, with the aim of enhancing the overall security, reliability, trustworthiness, and impartiality of VANETs. For the integrity of the article, this survey begins with providing the background information of VANETs, including the basic components and general architecture. Then, many attacks in VANETs are investigated, analyzed, and compared to understand the functional relevance of the following trust and reputation methods. Various approaches offer various countermeasures against these types of attacks. At the same time, the latest development of emerging technologies such as blockchain, software-defined network, and cloud computing opens up new possibilities for more and more promising trust and reputation management models and systems in VANETs. After that, the survey reviews the most important trust and reputation models and schemes which are widely mentioned in the literature based on our developed technique-based taxonomy, in contrast to the popular “entity-centric, data-centric, hybrid” taxonomy in the field, to adapt to the recent technological development of these management schemes in VANETs. Finally, discussions and speculations on the future direction of research into the trust and reputation management in VANETs are presented.

A pseudonym-based certificateless privacy-preserving authentication scheme for VANETs

With the rapid development of wireless communication technology, Vehicular Ad-Hoc Networks (VANETs) is gradually becoming a key component for establishing core applications such as smart cities and the Intelligent Transportation System (ITS). However, due to the wireless multi-hop communication, VANETs is vulnerable to attacks. Therefore, the implementation of legitimacy authentication and conditional privacy preserving among entities in VANETs is a necessary prerequisite to ensure the security of VANETs. This paper proposes a secure and efficient conditional privacy preserving scheme for VANETs. Under the premise of guaranteeing the conditional privacy in VANETs, the anonymous authentication scheme is constructed by combining the pseudonym-based mechanism and the certificateless signature mechanism. Moreover, the scheme has great advantages in fast revocation of vehicles, and ensures that the pseudonyms cannot be linked before being traced. Security analysis proves that the proposed scheme is able to meet the privacy protection requirements in VANETs. In addition, the performance evaluation shows that the efficiency of the proposed scheme is significantly improved compared with the state-of-art schemes.

A Novel Fuzzy Logic-Based Scheme for Malicious Node Eviction in a Vehicular Ad Hoc Network

Securing communication in vehicular ad hoc networks (VANETs) is hampered by numerous constraints, making it more difficult. First, traditional security schemes cannot be directly applied in VANET because they consider fixed topology. Second, VANET enables dynamic spectrum access where nodes constantly change frequencies due to their high degree of mobility, resulting in severe consequences on network performance. Third, an effective security scheme in VANET needs local and continual knowledge of nodes. Last, the presence of malicious nodes and their misbehaving activities impair the safety of the drivers since they might alter the content of the sent safety alerts. With these constraints in mind, this paper presents a unique security strategy that utilizes node behaviour during message exchange as a security metric to address these issues. Through the message alert exchange phase, node behaviour is measured through the fuzzy logic framework to generate a rank for each node called trust level (BL), which describes the node’s reliability in exchanging safety messages correctly. Moreover, all messages in VANET are encrypted using the existing cryptography techniques. The proposed scheme is developed to enhance communication security in VANET, minimize the effects of malicious nodes, and improve resource utilization in VANET. Evaluation of the proposed scheme shows that it improves the performance of VANET in terms of end-to-end delay, packet delivery ratio, and packet loss ratio. According to the results, our scheme improves throughput by up to 23% and reduces end-to-end delay by up to 60%.

Lattice‐based batch authentication scheme with dynamic identity revocation in VANET

Aggregate signatures allow someone to aggregate multiple signatures into one signature, which is suitable for resource-constrained and computationally inefficient environments. Identify-based aggregate signature can solve the storage problem of public key certificates while achieving efficient signature verification. However, in most of the identity-based aggregate signature schemes, the user identity revocation process is time-consuming and cannot resist quantum attacks. To solve above problems, this paper proposes a lattice-based aggregate signature scheme with dynamic identity revocation by combining lattice-based cryptography and an aggregate signature scheme. The security of the proposed lattice-based aggregate signature scheme with dynamic identity revocation has been proved in the random oracle model. In addition, the verification efficiency of the aggregate signature has been improved compared with multiple different signatures. Much of the data transfer in Vehicular Ad Hoc Network (VANET) is carried out wirelessly, which makes VANET vulnerable to identity spoofing attacks. Identity authentication technology can prevent attackers from impersonating legitimate users, thus ensuring the security of VANET. Based on the proposed lattice-based aggregate signature scheme with dynamic identity revocation, this paper proposes a lattice-based batch authentication scheme with dynamic identity revocation in VANET. Through the proposed batch authentication scheme, we can effectively resist the impersonation attack of VANET in the quantum computer environment, and the efficiency of authentication is improved.