Secure Vehicular Communication Using ID Based Signature Scheme

The integration of 5G and VANET will result in an intelligent transportation system. Relay of 5G data from mobile networks to VANET which is greatly underutilized can reduce the burden on mobile networks. Wireless technology has been used in vehicles or better known as the Vehicular Ad hoc Network (VANET). One of the keys to the success of sending data on VANET is the Path Selection Algorithm which is the task of the routing protocol. The routing protocol that is widely used in research in the VANET environment is AODV (Adhoc On-Demand Distance Vector), because among other protocols, AODV is the most suitable and suitable for implementation in the VANET environment, and AODV is also one of the reactive routing protocols. This study includes an increase in the performance of a routing protocol, so in this study, the SIN (Static Intersection Node) is added to the RSU (Road-Side Unit) which is located at an intersection. Which functions as a repeater that helps send data packets to other vehicles around it so that it can increase the Packet Delivery Ratio and minimize Packet Loss and End to End Delay. The focus of this research is to determine the most ideal Static Intersection Node position as well as the most effective number of Static Intersection Nodes.

Vehicular ad hoc networks have played a key role in intelligent transportation systems that considerably improve road safety and management. This new technology allows vehicles to communicate and share road information. However, malicious users may inject false emergency alerts into vehicular ad hoc networks, preventing nodes from accessing accurate road information. In order to assure the reliability and trustworthiness of information through the networks, assessing the credibility of nodes has become a critical task in vehicular ad hoc networks. A new scheme for malicious node detection is proposed in this work. Multiple factors are fed into a fuzzy logic model for evaluating the trust for each node. Vehicles are divided into clusters in our approach, and a road side unit manages each cluster. The road side unit assesses the credibility of nodes before accessing vehicular ad hoc networks. The road side unit evicts a malicious node based on trust value. Simulations are used to validate our technique. We demonstrate that our scheme can detect and evict all malicious nodes in the vehicular ad hoc network over time, lowering the ratio of malicious nodes. Furthermore, it has a positive impact on selfish node participation. The scheme increases the success rate of delivered data to the same level as the ideal cases when no selfish node is present.

Vehicular Ad-Hoc Networks (VANETs) technologies can improve traffic safety for drivers and provide comfort services for passengers through copious amounts of Internet resources. Since the hardware of Road Side Unit (RSU) is costly, in most previous researches, vehicles exchange their data with RSU in a multi-hop manner. However, the vehicle with a larger number of hops to the RSU has fewer opportunities and longer time to communicate with RSU since the contentions and collisions increase with the number of hops. This paper proposes a Joint Throughput Enhancement and Fairness (JTEF) MAC protocol aiming to increase bandwidth utilization, maintain fairness, and avoid collision in a VANET environment. Performance study reveals that the proposed JTEF protocol outperforms existing CVIA protocol in terms of end-to-end throughput and fairness.

Vehicular Ad-Hoc Network (VANET) is a form of Peer-to-Peer (P2P) wireless communication between vehicles, which is characterized by the high mobility. In practice, VANET can be utilized to cater connections via multi-hop communication between vehicles to provide traffic information seamlessly, such as traffic jam and traffic accident, without the need of dedicated centralized infrastructure. Although dedicated infrastructures may also be involved in VANET, such as Road Side Units (RSUs), most of the time VANET relies solely on Vehicle-to-Vehicle (V2V) communication, which makes it vulnerable to several potential attacks in P2P based communication, as there are no trusted authorities that provide authentication and security. One of the potential threats is a Sybil attack, wherein an adversary uses a considerable number of forged identities to illegitimately infuse false or biased information which may mislead a system into making decisions benefiting the adversary. Avoiding Sybil attacks in VANET is a difficult problem, as there are typically no trusted authorities that provide cryptographic assurance of Sybil resilience. This paper presents a technique to detect and mitigate Sybil attacks, which requires no dedicated infrastructure, by utilizing just V2V communication. The proposed method work based on underlying assumption that says the mobility of vehicles in high vehicle density and the limited transmission power of the adversary creates unique groups of vehicle neighbors at a certain time point, which can be calculated in a statistical fashion providing a temporal and spatial analysis to verify real and impersonated vehicle identities. The proposed method also covers the mitigation procedures to create a trust model and announce neighboring vehicles regarding the detected tempered identities in a secure way utilizing Diffie-Hellman key distribution. This paper also presents discussions concerning the proposed approach with regard to benefits and drawbacks of sparse road condition and other potential threats.

Vehicular Ad Hoc Network (VANET) is a special application of traditional Mobile Ad Hoc Network (MANET) in traffic roads, which has attracted extensive attention due to its important role in intelligent traffic and road services. In order to ensure the safety of road traffic and protect the privacy of users, it is of vital importance to provide effective anonymous authentication in VANET. In this paper, we propose an efficient mutual authentication framework with conditional privacy protection (EMAPP), which can achieve the security authentication from vehicles to infrastructure and vehicles to vehicles. In the proposed framework, we are combined with pseudo ID and temporary pseudonym to protect the privacy of vehicles, and use the identity-based signature scheme to achieve authentication between vehicles and infrastructure. At the same time, with the assistance of the roadside unit (RSU), we utilize an online/offline signature scheme to achieve authentication between vehicles in the same RSU area and different RSU area. Our scheme has reusability, and we have conducted a performance evaluation. Without expensive and time-consuming operations such as bilinear pairing and mapping to point (MTP) functions, our framework can produce better performance and is appropriate for practical application. In addition, we also use the Internet Security Protocol and Application Automatic Authentication (AVISPA) tools to provide formal security analysis.

With the development of the vehicular communications technology, roadside units (RSUs) placement problem has recently received considerable attentions in vehicular ad hoc networks (VANETs). This paper addresses the roadside units (RSUs) placement problem for traffic flow coverage requirement number in vehicular ad hoc networks (VANETs). Given a set of road segments, some traffic flows and a coverage requirement number n, the problem is how to find the optimal placement of RSUs, such that each traffic flow is covered by at least n RSUs. We first investigate full RSUs placement problem, which place all the RSUs on the given road segments totally. We prove that this problem is NP-hard. Then, we propose a greedy algorithm to solve the problem and theoretical analysis is given. We also study incremental RSUs placement problem, which place the partial RSUs based on the deployed RSUs on the given road segments. Based on the proposed greedy algorithm, we also propose a algorithm to solve the incremental RSUs placement problem. Extensive simulations have been conducted to show the performance of our proposed algorithms is superior to the other algorithms.

The vehicular ad-hoc network (VANET) is a promising technology in near future. VANET allows vehicles to communicate with each other and with roadside units (RSUs). Wireless Access in Vehicular Environment (WAVE), defined by IEEE, provides the Internet connectivity for vehicles as well as vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communication. RSUs can form a wireless mesh network (WMN) as a backbone infrastructure to enhance the performance of VANET. However, WAVE supports only one-hop communications for IP packets in VANET, and existing researches do not consider the compatibility between VANET and WMN infrastructure formed by RSUs. We propose the extended WMN (ExWMN) which has the feasibility to extend WMN to VANET domain. In ExWMN, the vehicles can send IP packets to an access router by using the multi-hop capability of WMN. ExWMN uses the addressing scheme of WMN for the extended VANET domain and exploits geographical routing protocols instead of existing routing protocols of WMN due to VANET characteristics such as mobility and dynamically changing network topologies. ExWMN supports the compatibility between the extended VANET and a WMN infrastructure due to RSUs, which provide a bridging function between them. This paper presents the architecture and the detailed procedures of the ExWMN.

Emerging as the effective strategy of intelligent transportation system (ITS), vehicular ad hoc networks (VANETs) have the capacity of drastically improving the driving experience and road safety. In typical VANET scenarios, high mobility and volatility of vehicles result in dynamic topology of vehicular networks. That is, individual vehicle may pass through the effective domain of multiple neighboring road-side-units (RSUs) during a comparatively short time interval. Hence, efficient and low-latency cross-domain verification with all the successive RSUs is of significance. Recently, a lot of research on VANET authentication and key distribution was presented, while the critical cross-domain authentication (CDA) issue has not been properly addressed. Particularly, the existing CDA solutions mainly reply on the acquired confidential keying information from the neighboring entities (RSUs and vehicles), while too much trustworthiness is granted to the involved RSUs. Please note that the RSUs are distributively located and may be compromised or disabled by adversary, thus vital vehicle information may be revealed. Furthermore, frequent data interactions between RSUs and cloud server are always the major requisite so as to achieve mutual authentication with cross-domain vehicles, which leads to heavy bandwidth consumption and high latency. In this paper, we address the above VANET cross-domain authentication issue under the novel RSU edge networks assumption. Please note that RSUs are assumed to be semi-trustworthy entity in our design, where critical vehicular keying messages remain secrecy. Homomorphic encryption design is applied for all involved RSUs and vehicles. In this way, successive RSUs could efficiently verify the cross-domain vehicle with the transited certificate from the neighbor RSUs and vehicle itself, while the identity and secrets of each vehicle is hidden all the time. Afterwards, dynamic updating towards the anonymous vehicle identity is conducted upon validation, where conditional privacy preserving is available. Moreover, pairing-free mutual authentication method is used for efficiency consideration. Formal security analysis is given, proving that the HCDA mechanism yields desirable security properties on VANET cross domain authentication issue. Performance discussions demonstrate efficiency of the proposed HCDA scheme compared with the state-of-the-art.

A Vehicular Ad hoc NETwork (VANET) is a type of mobile Peer-To-Peer wireless network that allows providing communication among nearby vehicles and between vehicles and nearby fixed roadside equipment. The lack of centralized infrastructure, high node mobility and increasing number of vehicles in VANETs result in several problems discussed in this paper, such as interrupting connections, difficult routing, security of communications and scalability. Existing system for VANET communication is proved to have several drawbacks. We have proposed a mechanism in order to provide secure and efficient communication in VANET environment. We overcome the drawbacks of the existing system by using Malicious Vehicular Analyzer algorithm and Elliptic Curve Cryptography (ECC). Using these algorithms, malicious messages are identified. It also detects the accident and other problems in the path of the vehicles. Elliptic Curve Cryptography (ECC) algorithm is used for stronger security during communication.

A novel ID-based proxy-protected signature scheme based on identity information is presented in this paper. We review the concept ID-Based signature introduced by Shamir, define the security notion of an ID-Based signature. We also improve the Shamir’s ID-Based signature and prove its security under the proposed security notion. From the improved Shamir’s ID-Based signature scheme we construct an ID-Based proxy signature scheme, the security is based on the underlying ID-based signature scheme. Our scheme is efficient and easy to implement. The scheme simplifies the public key as the user’s id and can be easily applied to all the RSA-type cryptosystems.

In this paper, we propose a secure data downloading protocol with privacy preservation in vehicular ad hoc networks (VANETs). In the data downloading application, vehicles send requests, such as where is the nearest gas station, at a road side unit (RSU) and receive the corresponding responses from application servers via current or the following RSUs. It would be easy for eavesdroppers to get vehicles' private information if semi-trust RSUs are compromised because both request and response messages are forwarded by them. Therefore, we develop a protocol which enables vehicles to download data securely from RSUs with their privacy under protection even when one or multiple RSUs are compromised. Our protocol guarantees vehicles exclusive access to their requested data while eavesdroppers can not obtain any private information of the vehicles. Possible attacks and the corresponding solutions as well as privacy evaluation are discussed to demonstrate the performance of the proposed protocol.

Vehicular ad hoc networks (VANETs) play a critical role in enabling intelligent transportation systems, but their open and dynamic nature also makes them highly vulnerable to security threats. Traditional rule-based security mechanisms often fall short of identifying complex or evolving attack patterns. This study explores the application of Deep Belief Networks (DBNs) for automated feature learning and anomaly detection in VANET environments. By leveraging the hierarchical structure of DBNs, the model is trained to extract meaningful temporal and spatial features from high-dimensional traffic and communication data. These learned representations are then used to identify potential malicious behaviors such as spoofing, Sybil attacks, and false message injections. Experimental evaluations on benchmark VANET datasets demonstrate that DBNs significantly improve detection accuracy while reducing false positives compared to shallow learning approaches. This work highlights the potential of deep learning-based models in building more adaptive and resilient VANET security frameworks.

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.

The incorporation of electronics by embedding the relevant sensors in the physical devices in home and office, vehicles of all types, buildings in the smart cities and in all possible spheres of life form a network of devices termed as internet of things (IoT). It is being realized that vehicular ad-hoc networks (VANETs) which are responsible for the reliable and secure communication among vehicles is a primary area of research in IoT and hence ensuring security in this area is essential. Thus, this work introduces a novel approach to improve the existing authentication support to VANETs. In this proposed framework, first an anonymous authentication approach for preserving the privacy is proposed which not only performs the vehicle user’s anonymous authentication but preserves the message integrity of the transmitting messages as well. Although many anonymous authentication schemes have been proposed in VANETs until now, the existing schemes suffer from a high computation cost during the signature and certificate verification process which leads to delayed authentication. Consequently, the vehicles and roadside units (RSUs) cannot authenticate more number of vehicles per second in VANETs. Second, an efficient anonymous group key distribution protocol is proposed in this paper for securely distributing the group key to the group of vehicles in the communication range of an RSU. The RSUs can send location based information to the group of vehicles in a secure manner using this group key. Experimental analysis portrays that the results of this new privacy preserving anonymous authentication and key management schemes are promising and efficient with regard to signature verification cost and computational cost in comparison with the existing schemes.

Data dissemination among vehicles is an important problem in a Vehicular Ad Hoc Network (VANET). However, all existing works on data dissemination consider transferring small-sized data, where the entire data can be transferred from a roadside unit (RSU) to a vehicle when the vehicle is passing by it. In this paper, we address the problem of large data transfers among vehicles in a VANET using RSUs and vehicles with finite data storage and transfer capacity. In particular, we formulate two problems, the Maximum Successful Transfers Problem Using RSUs (R-MaxSucTrans) that aims to maximize the number of successful transfers between source and destination vehicles using only RSUs as intermediate nodes, and the Maximum Successful Transfers Problem Using RSUs and Vehicles (RV-MaxSucTrans) that aims to do the same while using both RSUs and other vehicles as intermediate nodes. Offline algorithms are proposed for the two problems. Detailed simulation results are presented to evaluate the performance of the algorithms.