Quantum -Inspired and Probabilistic Zone Adaptive Routing Protocol for Gray Hole Attack Detection in VANETS

Vehicular Ad Hoc Networks (VANETs) are the backbone of contemporary intelligent transport systems.These are vulnerable to the security attacks like grayhole attacks that contaminate data exchange with packets lost in an unfair manner.To overcome these deficits, Integrated Quantum Inspired Secure Routing Framework (IQSRF) is introduced.It's a novel, end-to-end solution that morphs into the fusion of four cutting-edge algorithms.Efficient and scalable zone-based routing is attained through the framework using Quantuminspired Zone Adaptive Routing Protocol (QZARP) for optimizing the vehicular communication across dynamic vehicular environments.Quantum-Inspired Probabilistic Routing Algorithm (QIPRA) improves path reliability using model-based probabilistic in order to calculate an optimal path.Dynamic Trust and Reputation Management Algorithm (DTRMA) ensures security through node trust confirmation and dynamic behavior, marking the nodes malicious to counter the grayhole attack.Adaptive Layered Quantum Resilient Encryption Algorithm (ALQREA) utilizes the multilayer encryption for ensuring confidentiality and data integrity.It is strongly immune to classical computer-based and quantum computer-based attacks.By the implementation of these algorithms through blending, there exists highly effective and efficient paradigm.This paradigm has not only identified grayhole attacks but also provides secure, reliable and best communication for VANETs in achieving the most essential needs of next-generation vehicular communications.

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Publication Details

Journal
International Journal of Computer Networks And Applications
Published
2025-08-30
DOI
https://doi.org/10.22247/ijcna/2025/31
Primary Topic
Vehicular Ad Hoc Networks (VANETs)
Type
article
Field-Weighted Citation Impact
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article

Quantum -Inspired and Probabilistic Zone Adaptive Routing Protocol for Gray Hole Attack Detection in VANETS

V. Radha, V.Sakthi Priyanka
International Journal of Computer Networks And Applications
Vehicular Ad Hoc Networks (VANETs)
article

Quantum -Inspired and Probabilistic Zone Adaptive Routing Protocol for Gray Hole Attack Detection in VANETS

V. Radha, V.Sakthi Priyanka
article en

Abstract

Vehicular Ad Hoc Networks (VANETs) are the backbone of contemporary intelligent transport systems.These are vulnerable to the security attacks like grayhole attacks that contaminate data exchange with packets lost in an unfair manner.To overcome these deficits, Integrated Quantum Inspired Secure Routing Framework (IQSRF) is introduced.It's a novel, end-to-end solution that morphs into the fusion of four cutting-edge algorithms.Efficient and scalable zone-based routing is attained through the framework using Quantuminspired Zone Adaptive Routing Protocol (QZARP) for optimizing the vehicular communication across dynamic vehicular environments.Quantum-Inspired Probabilistic Routing Algorithm (QIPRA) improves path reliability using model-based probabilistic in order to calculate an optimal path.Dynamic Trust and Reputation Management Algorithm (DTRMA) ensures security through node trust confirmation and dynamic behavior, marking the nodes malicious to counter the grayhole attack.Adaptive Layered Quantum Resilient Encryption Algorithm (ALQREA) utilizes the multilayer encryption for ensuring confidentiality and data integrity.It is strongly immune to classical computer-based and quantum computer-based attacks.By the implementation of these algorithms through blending, there exists highly effective and efficient paradigm.This paradigm has not only identified grayhole attacks but also provides secure, reliable and best communication for VANETs in achieving the most essential needs of next-generation vehicular communications.

International Journal of Computer Networks And ApplicationsVol. 12(4)
Avinashilingam University (IN)
Openalex Percentile: Top 78%
Vehicular Ad Hoc Networks (VANETs)
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Quantum -Inspired and Probabilistic Zone Adaptive Routing Protocol for Gray Hole Attack Detection in VANETS — V. Radha, V.Sakthi Priyanka · International Journal of Computer Networks And Applications (2025) | TGRS Research Map | TGRS