ARPVP: Attack Resilient Position-Based VANET Protocol Using Ant Colony Optimization Article Swipe

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Jyoti R. Maranur , Basavaraj Mathapati ·

YOU? · · 2021 · Open Access · · DOI: https://doi.org/10.21203/rs.3.rs-718374/v1

The position-based routing of Vehicular Ad hoc Network (VANET) vulnerable to various security attacks because of dependency on computing, control, and communication technologies. The Internet of Things (IoT)-enabled VANET application leads to the challenges such as integrity, access control, availability, privacy protection, non-repudiation, and confidentiality. Several security solutions have been introduced for two decades in two categories as cryptography-based and trust-based. Due to the high computation complexity, cryptography-based solutions are outperformed by recent intelligent trust-based mechanisms. The trust-based techniques are lightweight and effective against the well-known security threats in VANET. The objective of this paper has to design a novel position-based routing in which the conduct of vehicles assessed to accomplish reliable VANET communications. Attack Resilient Position-based VANET Protocol (ARPVP) proposed to detect and prevent malicious vehicles in the network using the trust evaluation technique and artificial intelligence (AI). In the first phase of ARPVP, the periodic self-trust assessment algorithm has designed using various trust parameters to detect unreliable vehicles in the network. In the second phase of ARPVP, the position-based route formation algorithm has designed using the AI technique Ant Colony Optimization (ACO). ACO solves the problem of reliable route formation by neglecting the attacker's using a trust-based fitness function. The trust parameters of each vehicle as mobility, buffer occupancy, and link quality parameters had measured in both phases of ARPVP. Simulation outcomes of the proposed model outperformed state-of-art protocols in terms of average throughput, communication delay, overhead, and Packet Delivery Ratio (PDR).

Related Topics

Computer Science

Ant Colony Optimization Algorithms

Resilience (Materials Science)

Cryptography

Computer Security

Wireless

Artificial Intelligence

Concepts

Computer science Vehicular ad hoc network Computer network Ant colony optimization algorithms Routing protocol Protocol (science) Throughput Position (finance) Resilience (materials science) Cryptography Routing (electronic design automation) Computer security Wireless ad hoc network Distributed computing Wireless Artificial intelligence Alternative medicine Medicine Finance Economics Pathology Telecommunications Physics Thermodynamics

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Type: preprint
Language: en
Landing Page: https://doi.org/10.21203/rs.3.rs-718374/v1
PDF: https://www.researchsquare.com/article/rs-718374/v1.pdf?c=1631889633000
OA Status: green
Cited By: 3
References: 38
Related Works: 10
OpenAlex ID: https://openalex.org/W3187690068

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OpenAlex ID: https://openalex.org/W3187690068

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DOI: https://doi.org/10.21203/rs.3.rs-718374/v1

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Title: ARPVP: Attack Resilient Position-Based VANET Protocol Using Ant Colony Optimization

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Type: preprint

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Language: en

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Publication year: 2021

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Publication date: 2021-08-02

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Authors: Jyoti R. Maranur, Basavaraj Mathapati

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Landing page: https://doi.org/10.21203/rs.3.rs-718374/v1

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PDF URL: https://www.researchsquare.com/article/rs-718374/v1.pdf?c=1631889633000

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Concepts: Computer science, Vehicular ad hoc network, Computer network, Ant colony optimization algorithms, Routing protocol, Protocol (science), Throughput, Position (finance), Resilience (materials science), Cryptography, Routing (electronic design automation), Computer security, Wireless ad hoc network, Distributed computing, Wireless, Artificial intelligence, Alternative medicine, Medicine, Finance, Economics, Pathology, Telecommunications, Physics, Thermodynamics

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Cited by: 3

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Citations by year (recent): 2023: 2, 2022: 1

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