Improved Security of the Data Communication in VANET Environment Using ASCII-ECC Algorithm

Sajini, S.; Anita, E. A. Mary; Janet, J.

doi:10.1007/s11277-022-09974-7

Cited by 8 publications

(5 citation statements)

References 26 publications

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“…(19,20) Developed a drone-supporting block chain-based trust mechanism to prevent the reporting of fraudulent data in the IoT. (21) Proposed an ASCII ECC method for a cryptography-based system. Additionally, there is still a problem with how to monitor the misbehavior of entities (such CAs and RSUs) while avoiding frequent online contacts with the certificate services.…”

Section: Methodsmentioning

confidence: 99%

A Block Chain Based Authentication Scheme in VANET for a Secure Data Communication Using SHAH Algorithm

Sajini,

Anita,

Janet

2023

IJST

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Objectives: In Vehicular Ad Hoc Networks (VANETs), ensuring secure data communication is essential to uphold the integrity and reliability of vital vehicular applications. This study presents an innovative authentication scheme based on block chain technology, specifically designed to enhance data exchange security within VANETs. With a successful deployment and integration into our transportation systems, VANETs promise safer roads, reduced traffic congestion, and more efficient traffic management. These networks offer immediate communication of vital information to drivers, such as traffic conditions, accidents, and roadwork, helping to reduce accidents and save lives. VANET can enable intelligent traffic management, making real-time adjustments to traffic signals and routes based on data from the network. This can lead to reduced travel times and improved fuel efficiency, resulting in cost savings and reduced emissions. Methods: The scheme utilizes the SHAH (Secure Hash Algorithm with HMAC) Algorithm as a foundational component to safeguard data authenticity and confidentiality. Our proposed block chain-based authentication approach capitalizes on the decentralized nature of block chain technology, establishing a robust and tamper-resistant ledger for authentication purposes. This helps to secure data transmission. Findings: A comprehensive analysis of the proposed scheme showcases its efficacy in ensuring secure data communication within VANETs. These findings underscore the significant value of our proposed approach, contributing to a safer and more dependable environment for vehicular communication, thereby enhancing the overall reliability of VANET applications. Novelty: As a concluding note, this research not only introduces a unique block chain-based authentication scheme tailored specifically for VANETs but also underscores the indispensable role played by the SHAH Algorithm in achieving data security. The outcomes presented in this study inspire further exploration at the intersection of block chain and VANET technologies, ultimately advancing the https://www.indjst.org/ 4291

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Section: Methodsmentioning

confidence: 99%

A Block Chain Based Authentication Scheme in VANET for a Secure Data Communication Using SHAH Algorithm

Sajini,

Anita,

Janet

2023

IJST

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“…(Ajjaj et al, 2022;Dhanaraj et al, 2022;Malik et al, 2022). Researchers worldwide focus much of their efforts on enhancing security and creating novel approaches and algorithms for identifying different known and unknown VANET attacks (Sajini et al, 2023;Bangui et al, 2021b;Bensaid and Boukli-Hacene, 2019;Theodore et al, 2021;Canto et al, 2023). The remaining paragraphs in this section provide a quick overview of the detection techniques proposed by the various authors who have worked to develop technologies that can detect security leaks in VANETs early on.…”

Section: Detection Mechanisms In Vanetmentioning

confidence: 99%

Efficient Detection and Mitigation of Rushing Attacks in VANETs Using RAID: A Novel Intrusion Detection System

Kapu,

Karri

2023

Journal of Computer Science

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The vehicle manufacturing hub has evolved over the last decade with the emergence of self-driving vehicles and human-driven vehicles that use the concept of Artificial Intelligence (AI). Vehicular Ad Hoc Network (VANET) is a subset of Mobile Ad Hoc Network (MANET) that allows vehicles to communicate with one another and the Road Side Unit (RSU). VANET has been a game changer with features such as accident prevention, real-time traffic, route predictions, discovering an alternate route, alert notifications, safety, and security. VANET systems are distinguished by their ability to transmit critical safety information in real-time, even when the network's topology is constantly changing. With the lifesaving features of VANET comes a disadvantage that can risk the drivers' security and privacy through various attacks on the network. Intruders can steal data, drop data packets and modify, insert, or delete data when it is transmitted between vehicles. To address the mentioned data communication issues as well as various attacks in the VANET network, the authors propose an Intrusion Detection System (IDS) Rushing Attack Intrusion Detection (RAID), a novel framework that performs the detection of rushing attacks in vehicular networks. According to the performance analysis, the proposed framework RAID meets a wide range of security requirements while requiring less communication and storage. The study's findings were found to be more efficient.

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“…Sajini et al. proposed the ASCII‐ECC algorithm to enhance data transmission security within the context of VANETs [14]. The approach employed by the authors involves the utilization of ASCII encoding and Elliptic Curve Cryptography (ECC) to guarantee the secure transmission of information.…”

Section: Background and Literature Surveymentioning

confidence: 99%

“…This effectively thwarts attempts to exploit location-based vulnerabilities and unauthorized tracking. [14]. The approach employed by the authors involves the utilization of ASCII encoding and Elliptic Curve Cryptography (ECC) to guarantee the secure transmission of information.…”

Section: Traditional Vanet Security Approachmentioning

confidence: 99%

Adaptive neuro‐fuzzy inference system and particle swarm optimization: A modern paradigm for securing VANETs

Thiruppathy Kesavan,

Murugavalli,

Premkumar

et al. 2023

IET Communications

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Vehicular Adhoc Networks (VANET) facilitate inter‐vehicle communication using their dedicated connection infrastructure. Numerous advantages and applications exist associated with this technology, with road safety particularly noteworthy. Ensuring the transportation and security of information is crucial in the majority of networks, similar to other contexts. The security of VANETs poses a significant challenge due to the presence of various types of attacks that threaten the communication infrastructure of mobile vehicles. This research paper introduces a new security scheme known as the Soft Computing‐based Secure Protocol for VANET Environment (SC‐SPVE) method, which aims to tackle security challenges. The SC‐SPVE technique integrates an adaptive neuro‐fuzzy inference system and particle swarm optimisation to identify different attacks in VANETs efficiently. The proposed SC‐SPVE method yielded the following average outcomes: a throughput of 148.71 kilobits per second, a delay of 23.60 ms, a packet delivery ratio of 95.62%, a precision of 92.80%, an accuracy of 99.55%, a sensitivity of 98.25%, a specificity of 99.65%, and a detection time of 6.76 ms using the Network Simulator NS2.

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Improved Security of the Data Communication in VANET Environment Using ASCII-ECC Algorithm

Cited by 8 publications

References 26 publications

A Block Chain Based Authentication Scheme in VANET for a Secure Data Communication Using SHAH Algorithm

A Block Chain Based Authentication Scheme in VANET for a Secure Data Communication Using SHAH Algorithm

Efficient Detection and Mitigation of Rushing Attacks in VANETs Using RAID: A Novel Intrusion Detection System

Adaptive neuro‐fuzzy inference system and particle swarm optimization: A modern paradigm for securing VANETs

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