scholarly journals Improving The Security Of Data Communication in Vanets Using ASCII-ECC Algorithm

Author(s):  
Sajini S ◽  
Mary Anita E.A ◽  
J Janet

Abstract Now-a-days, with the augmenting accident statistics, Vehicular Ad-hoc Networks (VANET) are turning out to be more popular, which in-turn eradicates accidents in addition to damage to the vehicles together with populace. In a VANET, message can well be transmitted within a pre-stated region to attain safety of a system and also its efficacy. Next, it is challenge to ensure authenticity of messages in such a dynamic environment. Though some researchers have already worked on this, security has not been much focussed. Thus, secured data communication with enhanced security on the VANET environment utilizing the American Standard Code for Information Interchange centred Elliptic Curve Cryptography (ASCII-ECC) is proposed. The proposed scheme allows all vehicles to register with the Trusted Authority (TA) and uses Median-centred K-Means (MKM) to find out the cluster head among all cluster and at the last phase verification is done by TA. The performance of the proposed algorithm ASCII-ECC is analysed and proved that the system renders better performance when it is weighed against the top-notch methods.

2017 ◽  
Vol 63 (3) ◽  
pp. 309-313 ◽  
Author(s):  
C. Suganthi Evangeline ◽  
S. Appu

Abstract A special type of Mobile Ad-hoc Networks (MANETs) which has frequent changes of topology and higher mobility is known as Vehicular Ad-hoc Networks (VANETs). In order to divide the network into groups of mobile vehicles and improve routing, data gathering, clustering is applied in VANETs. A stable clustering scheme based on adaptive multiple metric combining both the features of static and dynamic clustering methods is proposed in this work. Based on a new multiple metric method, a cluster head is selected among the cluster members which is taken from the mobility metrics such as position and time to leave the road segment, relative speed and Quality of Service metrics which includes neighborhood degree, link quality of the RSU and bandwidth. A higher QoS and cluster stability are achieved through the adaptive multiple metric. The results are simulated using NS2 and shows that this technique provides more stable cluster structured with the other methods.


2018 ◽  
Vol 14 (9) ◽  
pp. 155014771880329 ◽  
Author(s):  
Jin Wang ◽  
Youyuan Wang ◽  
Xiang Gu ◽  
Liang Chen ◽  
Jie Wan

In vehicular participatory sensing, vehicles may provide false data or low-quality data. Building trust in vehicular ad hoc networks is an efficient way to deal with this issue. On one hand, vehicles need to disclose necessary information to demonstrate their trustworthiness. On the other hand, vehicles tend to hide their sensitive information to preserve user privacy. Therefore, privacy and trust are conflict in vehicular ad hoc networks. A cluster-based reputation framework named ClusterRep is proposed to balance privacy and trust in vehicular ad hoc networks. In this framework, the cluster head collaborates with cluster members to change pseudonyms and reputation values. The experiments show the scalability and the effectiveness of the ClusterRep compared with Beta strategy and IncogniSense-floor strategy.


2020 ◽  
Vol 21 (3) ◽  
pp. 425-440 ◽  
Author(s):  
Sumit Kumar ◽  
Jaspreet Singh

The new age of the Internet of Things (IoT) is motivating the advancement of traditional Vehicular Ad-Hoc Networks (VANETs) into the Internet of Vehicles (IoV). This paper is an overview of smart and secure communications to reduce traffic congestion using IoT based VANETs, known as IoV networks. Studies and observations made in this paper suggest that the practice of combining IoT and VANET for a secure combination has rarely practiced. IoV uses real-time data communication between vehicles to everything (V2X) using wireless communication devices based on fog/edge computing; therefore, it has considered as an application of Cyber-physical systems (CPS). Various modes of V2X communication with their connecting technologies also discussed. This paper delivers a detailed introduction to the Internet of Vehicles (IoV) with current applications, discusses the architecture of IoV based on currently existing communication technologies and routing protocols, presenting different issues in detail, provides several open research challenges and the trade-off between security and privacy in the area of IoV has reviewed. From the analysis of previous work in the IoV network, we concluded the utilization of artificial intelligence and machine learning concept is a beneficial step toward the future of IoV model.


The vehicular ad-hoc networks (VANETs) are specific type or a sub form of Mobile ad hoc networks (MANETs). However the main problem which is related to this network is the Quality of Service (QoS) which mainly occurs due to rapid change topology nature in the network and lack of stability of communication. Consequently, some of the challenges that researcher focus on routing protocols for VANET. The problem which is faced by this network with these protocols is the dynamic environment in their route instability. This paper approaches the combination of Dynamic Source Routing protocol (DSR) and Particle Swarm Optimization Algorithm (PSO) to solve the problems of Routing protocols which help to improve the Quality of service (QoS) in the network. The approach which is introduced in this paper is to make use for making the better Quality of Service (QoS) in the VANET. The simulation results in MATLAB exactly predict the overall performances regarding the proposed work in terms of the packet drop ratio, transmission delay, channel utilization, Throughput and Energy consumption under varying conditions


Author(s):  
Pavan Kumar Pandey ◽  
Vineet Kansal ◽  
Abhishek Swaroop

Over the past few years, there has been significant research interest in field of vehicular ad hoc networks (VANETs). Wireless communication over VANETs supports vehicle-to-vehicle (V2V), vehicle-to-infrastructure (V2I) communication. Such innovation in wireless communication has improved our daily lives through road safety, comfort driving, traffic efficiency. As special version of MANETs, VANETs bring several new challenges including routing and security challenges in data communication due to characteristics of high mobility, dynamic topology. Therefore, academia and the auto mobile industry are taking interest in several ongoing research projects to establish VANETs. The work presented here focuses on communication in VANETs with their routing and security challenges along with major application of VANETs in several areas.


2014 ◽  
Vol 2014 ◽  
pp. 1-12 ◽  
Author(s):  
Tulika Pandey ◽  
Deepak Garg ◽  
Manoj Madhava Gore

Publish/subscribe communication paradigm provides asynchrony and decoupling, making it an elegant alternative for designing applications in distributed and dynamic environment such as vehicular ad hoc networks (VANETs). In this paradigm, the broker is the most important component that decouples other two components, namely, publisher and subscriber. Previous research efforts have either utilized the deployment of distributed brokers on stationary road side info-stations or have assigned the role of broker to any moving vehicle on ad hoc basis. In one approach, lots of preinstalled infrastructures are needed whereas, in another, the quality of service is not guaranteed due to unpredictable moving and stopping patterns of vehicles. In this paper, we present the architecture of distributed mobile brokers which are dynamically reconfigurable in the form of structured P2P overlay and act as rendezvous points for matching publications and subscriptions. We have taken city buses in urban settings to act as mobile brokers whereas other vehicles are considered to be in role of publishers and subscribers. These mobile brokers also assist in locating a vehicle for successful and timely transfer of notifications. We have performed an extensive simulation study to compare our approach with previously proposed approaches. Simulation results establish the applicability of our approach.


PLoS ONE ◽  
2021 ◽  
Vol 16 (4) ◽  
pp. e0250271
Author(s):  
Ghassan Husnain ◽  
Shahzad Anwar

Vehicular Ad hoc Networks (VANETs) an important category in networking focuses on many applications, such as safety and intelligent traffic management systems. The high node mobility and sparse vehicle distribution (on the road) compromise VANETs network scalability and rapid topology, hence creating major challenges, such as network physical layout formation, unstable links to enable robust, reliable, and scalable vehicle communication, especially in a dense traffic network. This study discusses a novel optimization approach considering transmission range, node density, speed, direction, and grid size during clustering. Whale Optimization Algorithm for Clustering in Vehicular Ad hoc Networks (WOACNET) was introduced to select an optimum cluster head (CH) and was calculated and evaluated based on intelligence and capability. Initially, simulations were performed, Subsequently, rigorous experimentations were conducted on WOACNET. The model was compared and evaluated with state-of-the-art well-established other methods, such as Gray Wolf Optimization (GWO) and Ant Lion Optimization (ALO) employing various performance metrics. The results demonstrate that the developed method performance is well ahead compared to other methods in VANET in terms of cluster head, varying transmission ranges, grid size, and nodes. The developed method results in achieving an overall 46% enhancement in cluster optimization and an F-value of 31.64 compared to other established methods (11.95 and 22.50) consequently, increase in cluster lifetime.


2018 ◽  
Vol 7 (3.12) ◽  
pp. 57
Author(s):  
Asha K S ◽  
Rajeshwari Hegde

Some Inherent Vehicular Ad Hoc Networks (VANETs) characteristics such as intermittent connectivity, highly dynamic topology, and hard delay constraints, make data communication a challenging task in these networks. Due to such peculiarities, in this paper we study the impact of using vehicles predicted locations as a metric for data communication in VANETs. This paper deals with PBERR (Parameter Based Efficient Reliable Routing) for VANETs, which is a multilevel routing algorithm. The focus of this algorithm is 100% data transmission from end to end with no loss or drop of data packets by selecting the reliable path. The proposed algorithm will use the data of the digital maps to limit the scope of message exchanges in the shortest path for vehicles between source and destination. Our results clearly demonstrate the efficiency of the proposed solution in different scenarios, especially in terms of Network throughput, Energy consumption and Average delay. 


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