research-article

A Federated Learning-Based Blockchain-Assisted Anomaly Detection Scheme to Prevent Road Accidents in Internet of Vehicles

Authors:

Md. Kishor Morol,

Soo Young ShinAuthors Info & Claims

ICCA '22: Proceedings of the 2nd International Conference on Computing Advancements

Pages 516 - 521

https://doi.org/10.1145/3542954.3543028

Published: 11 August 2022 Publication History

Abstract

In the modern era, the internet of vehicles (IoV) is being utilized in commercial applications and extensively explored in research. However, internal fault in IoV can cause accidents on the road. Moreover, privacy concerns can hamper the internal data sharing to build a model to detect the anomaly. Federated learning (FL) and blockchain are emerging technologies that can assist in mitigating these challenges. FL-based anomaly detection is introduced to prevent road accidents with the help of blockchain. An environment is built to conduct experiments to prove the feasibility of the proposed scheme. The performance analysis demonstrates that our presented scheme outperforms the traditional scheme while having privacy concerns.

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Digital Library

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Cited By

Shi TWu RZhou CZheng SMeng ZCui ZHuang JRen CZhao Z(2024)A Trusted Supervision Paradigm for Autonomous Driving Based on Multimodal Data AuthenticationBig Data and Cognitive Computing10.3390/bdcc80901008:9(100)Online publication date: 2-Sep-2024
https://doi.org/10.3390/bdcc8090100
Islam AKarimipour H(2023)A Federated Transfer Learning-Empowered Blockchain-Enabled Secure Knowledge Sharing Scheme for Unmanned Any Vehicles in Smart Cities2023 IEEE Symposium Series on Computational Intelligence (SSCI)10.1109/SSCI52147.2023.10372065(547-552)Online publication date: 5-Dec-2023
https://doi.org/10.1109/SSCI52147.2023.10372065
Saravanan RSanthiya SShalini KSreeparvathy V(2023)Comparative Study Analysis of MachineLearning Algorithms for Anomaly Detection in Blockchain2023 International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE)10.1109/ICDCECE57866.2023.10150785(1-6)Online publication date: 29-Apr-2023
https://doi.org/10.1109/ICDCECE57866.2023.10150785

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ICCA '22: Proceedings of the 2nd International Conference on Computing Advancements

March 2022

543 pages

ISBN:9781450397346

DOI:10.1145/3542954

Copyright © 2022 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Published: 11 August 2022

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ICCA 2022

ICCA 2022: 2nd International Conference on Computing Advancements

March 10 - 12, 2022

Dhaka, Bangladesh

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Cited By

Shi TWu RZhou CZheng SMeng ZCui ZHuang JRen CZhao Z(2024)A Trusted Supervision Paradigm for Autonomous Driving Based on Multimodal Data AuthenticationBig Data and Cognitive Computing10.3390/bdcc80901008:9(100)Online publication date: 2-Sep-2024
https://doi.org/10.3390/bdcc8090100
Islam AKarimipour H(2023)A Federated Transfer Learning-Empowered Blockchain-Enabled Secure Knowledge Sharing Scheme for Unmanned Any Vehicles in Smart Cities2023 IEEE Symposium Series on Computational Intelligence (SSCI)10.1109/SSCI52147.2023.10372065(547-552)Online publication date: 5-Dec-2023
https://doi.org/10.1109/SSCI52147.2023.10372065
Saravanan RSanthiya SShalini KSreeparvathy V(2023)Comparative Study Analysis of MachineLearning Algorithms for Anomaly Detection in Blockchain2023 International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE)10.1109/ICDCECE57866.2023.10150785(1-6)Online publication date: 29-Apr-2023
https://doi.org/10.1109/ICDCECE57866.2023.10150785
Chithanuru VRamaiah M(2023)An anomaly detection on blockchain infrastructure using artificial intelligence techniques: Challenges and future directions – A reviewConcurrency and Computation: Practice and Experience10.1002/cpe.772435:22Online publication date: 19-Apr-2023
https://doi.org/10.1002/cpe.7724

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