Security In Vehicular Ad Hoc Networks Research Articles

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.

CREASE: Certificateless and REused-pseudonym based Authentication Scheme for Enabling security and privacy in VANETs

Due to the customers’ growing interest in using various intelligent and connected devices, we are surrounded by the Internet of Things (IoT). It is estimated that the number of IoT devices will exceed 60 billion by 2025. One of the primary reasons for such rapid growth is the Internet of Vehicles (IoV). Internet of Vehicles (IoV) has evolved into an emerging concept in intelligent transportation systems (ITS) that integrates VANETs and the IoT to enhance their capabilities. With the emergence of IoV and the interest shown by customers, Vehicular Ad hoc NETworks (VANETs) are likely to be widely deployed in the near future. However, for this to happen, wide participation of vehicle owners in VANET is needed. The primary concerns of vehicle owners to participate in VANET are privacy and security. In this paper, we present a Certificateless and REused-pseudonym based Authentication Scheme for Enabling security and privacy (CREASE) in VANETs. One of the ways to preserve the privacy of vehicles/drivers is to allow vehicles/drivers to use pseudo identities (pseudonyms) instead of their real identities (such as VIN number or driving license number) in all communications. The pseudonym used by a vehicle needs to be changed frequently to prevent the vehicle from being tracked. Our scheme uses Merkle Hash Tree and Modified Merkle Patricia Trie to efficiently store and manage the pseudonyms assigned to a vehicle. This enables a vehicle to pick and use a random pseudonym from a given set of pseudonyms assigned to it as well as change its pseudonym frequently and securely to ensure privacy. Unlike many of the existing schemes, our scheme does not use certificates and certificate revocation lists for authentication. Moreover, it allows vehicles to get a set of pseudonyms only once from the trusted authority. We present a formal proof of correctness of our scheme and also compare our scheme with some of the other contemporary schemes to show the effectiveness of our scheme.

An Authentication and Key Agreement Scheme Based on Roadside Unit Cache for VANET

Vehicular Ad Hoc Network (VANET) is a wireless Mobile Ad Hoc Network that is used for communication between vehicles, vehicles and fixed access points, and vehicles and pedestrians. However, because of the use of open wireless channels, VANET is more vulnerable. Therefore, VANET security is critical for safe driving and user privacy protection. Authentication and key agreement are crucial for ensuring security. Numerous authentication schemes have been proposed between vehicles and roadside units (RSUs). Many solutions are authentication and key negotiation between the vehicle and a single RSU. The vehicle passing through a region needs to complete authentication and key agreement with multiple RSUs separately, which brings a great burden to the vehicle. In order to simplify the authentication process of vehicles and multiple RSUs and improve the efficiency of authentication and key agreement, an efficient authentication and key agreement scheme based on RSU cache is proposed when the vehicle moves from one RSU to another RSU region. In the proposed scheme, RSUs are divided into regions, and each region has a RSU cluster head. When the vehicle enters a certain region and authenticates with a RSU successfully, the RSU submits the authentication information to the RSU cluster head. The RSU cluster head shares the authentication information with other RSUs in the region using the shared key. Other RSUs record the authentication information in the cache. When the vehicle communicates with other RSUs, the authentication is not necessary; the session key can be negotiated by simply exchanging information. After using the cache, the calculation and communication cost of the authentication and key negotiation between the vehicle and other RSU can be significantly saved, the calculation cost is reduced by 37%, and the traffic is reduced by 35%. The random oracle model is used to prove the security of the scheme. The results revealed that the authentication overhead of the proposed scheme is considerably lower than those of other schemes. Compared with the related schemes, the computational cost of the proposed scheme is reduced by 34% on average; the communication cost is close to other related schemes. Moreover, the security analysis shows that the proposed scheme provides better security compared to other related schemes.

ECDSA-based certificateless conditional privacy-preserving authentication scheme in Vehicular Ad Hoc Network

A Certificateless Public Key Cryptography (CL-PKC) aims to avoid the drawback of both traditional public key cryptography which requires a Public Key Infrastructure (PKI), and Identity-Based Public Key Cryptography (ID-PKC) which suffers from the inherent key escrow problem. In Vehicular Ad Hoc Network (VANET), a Certificateless Conditional Privacy Preserving Authentication (CCPPA) fulfills all known VANET security requirements in order to resolve challenges related to security and privacy. However, the existing certificateless schemes only achieve a trust level 2 according to the hierarchy defined by Girault. In case the partial private key is leaked, a malicious node can replace the public key since the public key is not bound to an identity. As a result, the trusted authority can only identify malicious nodes by using their pseudo identities. Al-Riyami and Paterson introduced a binding technique that allows to lift the trust level of a normal certificateless scheme to a trust level 3 by using a binding technique. This paper proposes new CCPPA schemes that use Al-Riyami and Paterson's technique, can achieve a stronger security and achieve a trust level 3. In case the partial private key is leaked, only the legitimate node can use the corresponding public key which has been certified by the trusted authority. As a result, the proposed CCPPA schemes address the vulnerability related to the public key replacement attack which is present in several CCPPA schemes. Our schemes also offer a tracing technique which consists of allowing the trusted authority to identify a malicious node using both its pseudo identity and public key. The proposed schemes use ECC cryptography and avoid Map-to-Hash function and bilinear pairing. Also, we called our schemes ECDSA-CCPPA and ECDSA*-CCPPA since they allow to respectively implement Elliptic Curve Digital Signature Algorithm (ECDSA) and the modified ECDSA* during authentication process in VANET. A security analysis is performed and proves that the ECDSA-CCPPA and ECDSA*-CCPPA schemes are secure in the random oracle. Actually, the ECDSA*-CCPPA scheme has an advantage over ECDSA-CCPPA in that it allows to perform a batch verification of signatures, where RSUs can support vehicles by collecting vehicle's signatures and verifying their messages in congested areas in order to reduce verification time. Additionally, a performance analysis is carried out to compare ECDSA*-CCPPA with several existing schemes. The simulation results show that ECDSA*-CCPPA outperforms the studied schemes with regard to the signature and verification process of one message. Moreover, it has the less overhead when compared to the studied certificateless schemes.

Security issues of Vehicular Ad Hoc Networks (VANET): A Systematic Review

Vehicular ad hoc networks (VANETs) are a subset of mobile ad hoc networks (MANETs) that refer to a group of connected cars. The various networking layers in common Internet protocol stack topologies are linked to security vulnerabilities in VANETs. A security breach in a VANET is typically serious and harmful. Also Current VANET security standards handle the bulk of the security issues that vehicle networks confront. This paper presents VANET’s different types of security attacks in a systematic review approach. The information was gathered by a systematic examination of existing research articles. Furthermore, the study's shortcomings were the dataset's size and the absence of quality characteristics.

Roadside unit‐based pseudonym authentication in vehicular ad hoc network

Information sharing among vehicles is an essential component of an Intelligent Transportation System (ITS), but must take into consideration the security and privacy requirements of the network participants. Vehicular Ad Hoc Network (VANET) is a pervasive network, where vehicles communicate wirelessly with nearby vehicles, infrastructure nodes, and other connected devices to improve road safety and provide other useful services. Security of VANET can be improved by ensuring that only authorized vehicles can participate in the network. This research proposes a new approach that uses roadside units (RSUs) to authenticate safety messages and notify vehicles about any unauthorized messages/senders. We present a three-tier architecture with a distributed blockchain to securely maintain the identity of all vehicles in the network. The use of this RSU-based approach helps to reduce the computational overhead on the On-board unit (OBU) of individual vehicles and does not require the transmission of lengthy certificates and certificate revocation lists with each message. Simulation results indicate that the proposed approach achieves improved performance compared to existing techniques in terms of both authentication delay and channel load.

A trust-aware cluster-based communication architecture for vehicular named data networking

Information-centric Networking (ICN) is a new networking paradigm that aims to solve the problem of the traditional TCP/IP-based Internet. Content-centric Networking (CCN) and Named Data Networking (NDN), both based on the Interest/Data communication paradigm, are two of the most well-known and specialized implementations of ICN. In contrast to typical networks, NDN enables intrinsic security, which ensures data security rather than communication channel security. Each response/data packet in transit has a signature on the contents of the data to ensure security. As a result, an invalid signature indicates an unauthenticated data packet. This ongoing hierarchical authentication verification approach causes a significant delay while providing the appropriate security levels. As a result, in a highly mobile environment with delay-sensitive applications like Vehicular Ad hoc Networks (VANETs), such a technique is neither viable nor scalable. We present a unique Trust-Aware Cluster-based Communication Architecture (TACCA) for Vehicular Named Data Networking in this study, which aims to improve the security of NDN-driven VANETs (VNDN). It separates the route segments into clusters and chooses cluster heads based on their trustworthiness and proximity to the center location. The selected cluster heads are then in charge of disseminating interest packets to prevent the broadcast storm problem. Once the data producer has been located, the data is returned to the requester in the quickest and most secure manner possible. Simultaneously, the intermediate vehicles decided whether or not to verify the data's validity based on their subjective perceptions of the data's producer's conduct. As a result, the calculation complexity and time are reduced. Our idea is able to maintain vanilla NDN security standards while lowering the produced end-to-end latency by more than three times, according to simulation data. As a result, the proposed TACCA is more suited to mobile networks(...)

Comprehensive Review on Misbehavior Detection for Vehicular Ad Hoc Networks

Vehicular ad hoc networks (VANETs) can increase road safety and comfort. It needs strong demand for security because the data sent in VANETs influence vehicles’ behavior. Existing studies have summarized VANET security, challenge, and attacks. This study aims to present a comprehensive overview of misbehavior detection in VANETs. First, VANET characteristics, security issues, and attacks are discussed. Then, the precise definition of misbehavior, detection mode, and detection objects are presented. Generic misbehavior detection is classified as data-centric and node-centric. In this study, to adapt to the VANETs scenario, we proposed a novel taxonomy of misbehavior detection, which considers the interaction between vehicles and which is refined by emphasizing the detection modes and participants. Finally, the remaining concerns, open issues, and prospective future research directions are discussed.

Secure and Efficient Communication in VANETs Using Level-Based Access Control

In recent years, the development of vehicular ad-hoc networks (VANETs) has received much attention in intelligent transportation systems (ITS). Unlike traditional ad-hoc networks, VANETs are emerging with unique characteristics that share similar technology with autonomous vehicles (AVs) and automated driving systems (ASDs). Communication between vehicles and the surrounding infrastructure unit, such as a roadside unit (RSU), must be secured, concise, and authentic. Hence, an access control system for the ad-hoc environment is required. We introduced a level-based controlled signcryption (LBS) scheme, which can be easily constructed and implemented into an access control system for VANETs environment. Our encrypted message has a short and constant size, which is better when compared with other attribute-based signcryption or encryption. Confidentiality, privacy, and authenticity are also provided in our scheme to ensure secure and authentic communication. Therefore, our scheme has addressed communication cost, scalability, security, and privacy issues in VANETs. This primitive can be applied to simplify attribute-based access control, as the only attribute required is an integer representing the security level. Our objective is to improve the quality and security of VANET communication. Moreover, an optional privacy mechanism in our scheme provides flexibility in controlling node privacy in VANETs.

Autonomous Vehicles: Resource Allocation, Security, and Data Privacy

Vehicular Ad-hoc Network (VANET) is a technology of importance for the Intelligent Transportation System, which provides safe and comfortable driving, infotainment, traffic management, route optimization, accident prevention, etc. Imparting suitable Quality of Service (QoS), high reliability, and low latency in VANET is a task that is challenging due to the presence of various constraints such as dynamic topology, an imperfection in hardware, congestion in the channel, fluctuation in vehicle density, etc. It is essential to allocate and utilize the resources effectively to maximize the benefit and enhance network performance. It is vital to use the available bandwidth, power, computing, and storage resources efficiently. Along with resource allocation, security and privacy challenges are of equal importance for VANET. One of the major concerns is to make the communication channel secure and prevent the network from attacks by malicious agents. Also, preserving the privacy of vehicles by hiding real identities to circumvent tracking is a challenging task. The authorized agents are allowed to know the actual identity of vehicles. This paper exhibits an in-depth survey of resource allocation schemes in different aspects of VANET. It analyzes the security and privacy of messages, vehicles, and the overall network. Also, the paper presents and discusses the open issues and future research areas in resource allocation, security, and privacy of VANET.

Secured SDN Based Blockchain: An Architecture to Improve the Security of VANET

Vehicular Ad-hoc networks (VANETs) during the communication process, nodes are always varying and the process is always under security threats like Sybil attacks, masquerading attacks, etc. In order to reduce the probability of these attacks and to regulate traffic flow in the network, a software-defined network (SDN) is used. The SDN is used for implementing protocols like OpenFlow and reducing the routing load in the network, but it doesn’t provide a high level of security to the network, hence protocols like encryption, hashing, etc. are applied to the VANET. In the paper, SDN based blockchain-inspired algorithm is implemented, which coordinates network traffic and improves the overall security of the network. Security analysis of the proposed algorithm shows that the combination of blockchain with encrypted SDN is removing more than 95% of the network attacks as compared to its non-blockchain counterparts.

A Secure Pseudonym-Based Conditional Privacy-Preservation Authentication Scheme in Vehicular Ad Hoc Networks.

Existing identity-based schemes utilized in Vehicular Ad hoc Networks (VANETs) rely on roadside units to offer conditional privacy-preservation authentication and are vulnerable to insider attacks. Achieving rapid message signing and verification for authentication is challenging due to complex operations, such as bilinear pairs. This paper proposes a secure pseudonym-based conditional privacy-persevering authentication scheme for communication security in VANETs. The Elliptic Curve Cryptography (ECC) and secure hash cryptographic function were used in the proposed scheme for signing and verifying messages. After a vehicle receives a significant amount of pseudo-IDs and the corresponding signature key from the Trusted Authority (TA), it uses them to sign a message during the broadcasting process. Thus, the proposed scheme requires each vehicle to check all the broadcasting messages received. Besides, in the proposed scheme, the TA can revoke misbehaving vehicles from continuously broadcasting signed messages, thus preventing insider attacks. The security analysis proved that the proposed scheme fulfilled the security requirements, including identity privacy-preservation, message integrity and authenticity, unlinkability, and traceability. The proposed scheme also withstood common security attacks such as man-in-the-middle, impersonation, modification, and replay attacks. Besides, our scheme was resistant against an adaptive chosen-message attack under the random oracle model. Furthermore, our scheme did not employ bilinear pairing operations; therefore, the performance analysis and comparison showed a lower resulting overhead than other identity-based schemes. The computation costs of the message signing, individual signature authentication, and batch signature authentication were reduced by 49%, 33.3%, and 90.2%, respectively.

Misbehavior Detection for Position Falsification Attacks in VANETs Using Machine Learning

Cooperative Intelligent Transport Systems (C-ITS) is an advanced technology for road safety and traffic efficiency over Vehicular Ad Hoc Networks (VANETs) allowing vehicles to communicate with other vehicles or infrastructures. The security of VANETs is one of the main concerns in C-ITS because there may be some attacks in such type of network that may endanger the safety of the passengers. Intrusion Detection Systems (IDS) play an important role to protect the vehicular network by detecting misbehaving vehicles. In general, the works in the literature use the same well-known features in a centralized IDS. In this paper, we propose a Machine Learning (ML) mechanism that takes advantage of three new features, which are mainly related to the sender position, allowing to enhance the performances of IDS for position falsification attacks. Besides, it presents a comparison of two different ML methods for classification, i.e. k-Nearest Neighbor (kNN) and Random Forest (RF) that are used to detect malicious vehicles using these features. Finally, Ensemble Learning (EL) which combines different ML methods, in our case kNN and RF, is also carried out to improve the detection performance. An IDS is constructed allowing vehicles to detect misbehavior in a distributed way, while the detection mechanism is trained centrally. The results demonstrate that the proposed mechanism gives better results, in terms of classification performance indicators and computational time, than the best previous approaches on average.

A QoS Aware Cluster Head Selection and Hybrid Cryptography Routing Protocol for Enhancing Efficiency and Security of VANETs

Nowadays, VANET (vehicular ad hoc network) is one of the key aspects of developing advanced intelligent transportation systems. Due to its huge mobility and rapid topology alteration, the network exposes to link failure that affects the firmness of the network and causes delay and congestion. Additionally, the dynamic change in the network routing affects the network’s security, makes it vulnerable to various attacks, and causes data loss. In order to overcome these drawbacks an efficient and highly secured routing protocol is needed. Subsequently, in this research, a new routing protocol is proposed that has the combination of quality of service (QoS)-aware cluster head (CH) selection and hybrid cryptography, which is named QoS+. The QoS+ protocol is mainly divided into QoS-based CH selection and hybrid cryptography modules. The CH selection module performs based on QoS parameters attempt to provide reliable and stable clusters and improve the firmness and connectivity during the communication process of the network. The hybrid cryptography module contains advanced encryption standard (AES) and elliptic curve cryptosystems (ECC) algorithms. It attempts to improve the security and privacy of the network. The QoS+ protocol is evaluated by a developed VANET simulator using NS2 software. The simulator consists of a network model, a load model, and an attack model. Various speed and transmission ranges and gray hole and wormhole attacks are used in the simulator. The outcome calculated from the performance analysis shows that the proposed QoS+ protocol has 7% to 24% higher message success rate, 500 to 800 higher packets normalized routing load, 350 to 550 Kbps higher throughput, 5% to 17% higher efficiency and 50ms to 12ms lower end to end delay when compared with the earlier works of ECHS and KMSUNET. The proposed QoS+ protocol also achieves superior performance in terms of CH efficiency, cluster member efficiency, and average cluster number with various speeds and transmission ranges.

Retracted: An Enhanced Hybrid Glowworm Swarm Optimization Algorithm for Traffic-Aware Vehicular Networks

A subclass of a Mobile Adhoc Network (MANET) is a Vehicular Adhoc Network (VANET). It consists of self-configuring moving vehicles which are called nodes. It is an inevitable ingredient of intelligent transportation systems. The vehicular network has some permanent devices called roadside units and moving devices called On Board Units (OBU). Every vehicle traveling on the network must possess the OBU. Safety and non-safety tidings are broadcasted in vehicular networks. Even vehicular network is derived from MANET and its characters are discriminated against the MANET. The various unique characteristics of VANETs are high mobility, changes in network topology, size of the network, long distance between the vehicles, frequently changing vehicle density, and limited time. Because of these special features, the traditional security and routing mechanisms are not suitable for VANETs. Also, the safety messages are modified or discarded by the attacker or any other node and it may lead to the loss of privacy, integrity, confidentiality, and authentication of the data. So to enhance the security of VANETs, it is very much essential to invent a secure communication protocol, to protect the infrastructure of the network and the confidentiality of the data. The simulation results reveal that the secure communication using certificate revocation approach, energy-efficient enhanced secure routing protocol, traffic-aware secure routing for VANETs using Hybrid Enhanced Glowworm Swarm Optimization (HEGSO), and trust model for secure communication in VANETs is ensuring the security in VANETs. When compared to peer existing routing protocols, the proposed scheme significantly reduces the packet failure ratio, response time, and throughput. When compared to ARIOR and I-AREOR, the proposed HEGSO technique diminished delays by 20% and 34%, respectively.

A Lightweight BT-Based Authentication Scheme for Illegal Signatures Identification in VANETs

Research related to vehicular ad hoc networks (VANETs) has received some significant attention in recent years. Despite all the advantages, the security and privacy in VANETs still become the main challenge that is widely open to discussion. The authentication scheme plays a substantial role to guarantee the security and privacy of information circulation and verification efficiency in VANETs. In this high-density environment, a scalability issue would emerge when the number of message-signature pairs received by a roadside unit (RSU) or vehicles becomes large. This issue happens because those entities cannot sequentially verify each received signature according to the required time limit. Some researchers believe that the symmetric cryptography-based authentication scheme provides a lightweight verification operation, which leads to low computation and communication costs. Combined with the batch verification process, this approach can be very beneficial. However, to the best of our knowledge, not many of those related schemes provide a realistic scenario regarding some illegal signatures’ appearance. Could the system identify the forged messages? Is it still efficient enough to do such an operation? In this paper, we propose a lightweight binary tree-based (BT-based) authentication scheme with a batch verification mechanism, that could efficiently identify a modest amount of illegal signatures in the sum of messages. To even improve the operation, we combine our BT-based batch verification scheme with our vehicle reputation scoring system. Given any <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">n</i> received messages with <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">b</i> ≥ 1 illegal ones, the computation cost to verify all these messages only requires approximately (2[⌈lg <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">n</i> ⌉ - lg(⌈ b/2 ⌉2)] + 2 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">⌈lg(⌈ b/2 ⌉2)⌉+1</sup> - 1) pairing operations, as the best-case scenario. By this approach, we can guarantee the best-case scenario (the most desirable condition) in our BT-based identification appear as much as possible. Hence, the computation cost can be kept low.

Hybrid Genetic Firefly Algorithm-Based Routing Protocol for VANETs

Vehicular Adhoc Networks (VANETs) are used for efficient communication among the vehicles to vehicle (V2V) infrastructure. Currently, VANETs are facing node management, security, and routing problems in V2V communication. Intelligent transportation systems have raised the research opportunity in routing, security, and mobility management in VANETs. One of the major challenges in VANETs is the optimization of routing for desired traffic scenarios. Traditional protocols such as Adhoc On-demand Distance Vector (AODV), Optimized Link State Routing (OLSR), and Destination Sequence Distance Vector (DSDV) are perfect for generic mobile nodes but do not fit for VANET due to the high and dynamic nature of vehicle movement. Similarly, swarm intelligence routing algorithms such as Particle Swarm Optimization (PSO) and Ant Colony Optimization (ACO) routing techniques are partially successful for addressing optimized routing for sparse, dense, and realistic traffic network scenarios in VANET. Also, the majority of metaheuristics techniques suffer from premature convergence, being stuck in local optima, and poor convergence speed problems. Therefore, a Hybrid Genetic Firefly Algorithm-based Routing Protocol (HGFA) is proposed for faster communication in VANET. Features of the Genetic Algorithm (GA) are integrated with the Firefly algorithm and applied in VANET routing for both sparse and dense network scenarios. Extensive comparative analysis reveals that the proposed HGFA algorithm outperforms Firefly and PSO techniques with 0.77% and 0.55% of significance in dense network scenarios and 0.74% and 0.42% in sparse network scenarios, respectively.

Security Analysis for a VANET Privacy Protection Scheme

Vehicular ad hoc network (VANET) is a self-organizing wireless sensor network model, which is extensively used in the existing traffic. Due to the openness of wireless channel and the sensitivity of traffic information, data transmission process in VANET is vulnerable to leakage and attack. Authentication of vehicle identity while protecting vehicle privacy information is an advantageous way to improve the security of VANET. We propose a scheme based on fair blind signature and secret sharing algorithm. In this paper, we prove that the scheme is feasible through security analysis.

Provable Secure Identity-Based Anonymous and Privacy-Preserving Inter-Vehicular Authentication Protocol for VANETS Using PUF

The concept of the smart city and the extensive use of vehicles are evolving progressively. This evolution makes vehicular ad-hoc network (VANET) a widely used network for inter-vehicular communication to get information about speed, traffic congestion, road condition, and vehicle location. This information is obtained from a public network, which is prone to various attacks. Generally speaking, data security in VANET is one of the most crucial tasks. We found many authentication protocols for VANETs; however, most of these protocols are insecure due to impersonation, replay, denial of service attacks, etc. Moreover, the existing protocols utilized heavy computation and communication costs, making them incompatible for resource-constrained VANET applications. This article presents a lightweight privacy-preserving authentication protocol for VANETs to offer a secure and efficient data transmission mechanism over a public channel. We analyze that our protocol is lightweight, safe, and scalable compared to related protocols. The communication and computation cost of our protocol is less concerning the state-of-the-art protocols. Hence, it is overt from the observed facts that our protocol is more reliable, convenient, and practical for secure data transmission in VANETs.

Sybil Attack with RSU Detection and Location Privacy in Urban VANETs: An Efficient EPORP Technique

In recent years, Vehicular ad hoc networks (VANETs) could facilitate the decision-making progress of the drivers for example trip planning with the consideration of traffic. In the VANET, the Sybil attack is a very serious attack that collapses the security. In literature, some of the methods are reviewed to detect Sybil attacks in VANETs, but it fails to achieve Sybil attack detection. Hence, in this paper, Emperor Penguin Optimization-based Routing protocol (EPORP) is developed for detecting the Sybil attack which enhances the VANETs security. The main motive of the research is detecting the Sybil attack in VANETs for enhancing the secure operation. In the proposed approach, the Sybil attack will be detected with the help of the Rumour riding technique. To enhance the security of the VANETs, the Split XOR (SXOR) operation is utilized. In the SXOR operation, the optimal key is selected with the help of Emperor Penguin Optimization (EPO). The proposed method is implemented in the NS2 platform and performances are evaluated by metrics such as delay, throughput, delay, encryption time, and decryption time. The proposed method is compared with existing methods such as Whale Optimization Algorithm (WOA), Particle Swarm Optimization (PSO), and Firefly Algorithm (FA) respectively. While analyzing the delivery ratio, the proposed method has 0.96 s, and the WOA, PSO, and FA are 0.94, 0.92, and 0.90 respectively. From the analysis, the proposed method has a high delivery ratio value compared with the WOA, PSO, and FA methods. Similarly, the other parameters are analyzed and compared with the existing methods.