research-article

Solution of detecting jamming attacks in vehicle ad hoc networks

Authors:

Anh Tuan Nguyen,

Jalel Ben OthmanAuthors Info & Claims

MSWiM '13: Proceedings of the 16th ACM international conference on Modeling, analysis & simulation of wireless and mobile systems

Pages 405 - 410

https://doi.org/10.1145/2507924.2507927

Published: 03 November 2013 Publication History

Abstract

Vehicular ad hoc network (VANET) is currently researched and achieved by several organizers to develop the intelligent transportation system (ITS). Research on Vehicular Ad hoc Network (VANET) has been conducting for long time. Nowadays, several organizers has obtained remarkable achievements contributing to the development of the Intelligent transportation system, ITS. The communication protocol in VANET named 802.11p protocol, has been improved to adapt to the high-speed environment. However, the communication among vehicles can be interfered even by Denial of Service (DoS) attacks such as jamming attacks. The vehicles communicate with each other in the high-speed environment. The time of data exchange between them must be extremely short. Solutions for detection of jamming attacks must occur quickly to detect more precisely. In order to detect jamming attacks more precisely, solutions therefore must occur very fast. In this paper, we propose one solution to detect jamming attacks. The following solution is based on the combination of the packet delivery ratio and its diminution.

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Cited By

Anwar AHalabi TZulkernine M(2024)A Dynamic Threat Prevention Framework for Autonomous Vehicle Networks based on Ruin-theoretic Security Risk AssessmentACM Journal on Autonomous Transportation Systems10.1145/36605271:4(1-28)Online publication date: 23-Apr-2024
https://dl.acm.org/doi/10.1145/3660527
Price JLi YShamaileh KNiyaz QKaabouch NDevabhaktuni V(2022)Real-time Classification of Jamming Attacks against UAVs via on-board Software-defined Radio and Machine Learning-based Receiver Module2022 IEEE International Conference on Electro Information Technology (eIT)10.1109/eIT53891.2022.9813923(1-5)Online publication date: 19-May-2022
https://doi.org/10.1109/eIT53891.2022.9813923
Pirayesh HZeng H(2022)Jamming Attacks and Anti-Jamming Strategies in Wireless Networks: A Comprehensive SurveyIEEE Communications Surveys & Tutorials10.1109/COMST.2022.315918524:2(767-809)Online publication date: Oct-2023
https://doi.org/10.1109/COMST.2022.3159185
Show More Cited By

Index Terms

Solution of detecting jamming attacks in vehicle ad hoc networks

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Published In

cover image ACM Conferences

MSWiM '13: Proceedings of the 16th ACM international conference on Modeling, analysis & simulation of wireless and mobile systems

November 2013

468 pages

ISBN:9781450323536

DOI:10.1145/2507924

General Chairs:
Bjorn Landfeldt
Lund University, Sweden
,
Mónica Aguilar Igartua
Universitat Politàcnica de Catalunya, Spain
,
Program Chairs:
Ravi Prakash
University of Texas at Dallas, USA
,
Cheng Li
Memorial University of Newfoundland, Canada

Copyright © 2013 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 ACM 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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New York, NY, United States

Publication History

Published: 03 November 2013

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MSWiM '13

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SIGSIM

MSWiM '13: 16th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems

November 3 - 8, 2013

Barcelona, Spain

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MSWiM '13 Paper Acceptance Rate 42 of 184 submissions, 23%;

Overall Acceptance Rate 398 of 1,577 submissions, 25%

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Cited By

Anwar AHalabi TZulkernine M(2024)A Dynamic Threat Prevention Framework for Autonomous Vehicle Networks based on Ruin-theoretic Security Risk AssessmentACM Journal on Autonomous Transportation Systems10.1145/36605271:4(1-28)Online publication date: 23-Apr-2024
https://dl.acm.org/doi/10.1145/3660527
Price JLi YShamaileh KNiyaz QKaabouch NDevabhaktuni V(2022)Real-time Classification of Jamming Attacks against UAVs via on-board Software-defined Radio and Machine Learning-based Receiver Module2022 IEEE International Conference on Electro Information Technology (eIT)10.1109/eIT53891.2022.9813923(1-5)Online publication date: 19-May-2022
https://doi.org/10.1109/eIT53891.2022.9813923
Pirayesh HZeng H(2022)Jamming Attacks and Anti-Jamming Strategies in Wireless Networks: A Comprehensive SurveyIEEE Communications Surveys & Tutorials10.1109/COMST.2022.315918524:2(767-809)Online publication date: Oct-2023
https://doi.org/10.1109/COMST.2022.3159185
Li YPawlak JPrice JAl Shamaileh KNiyaz QPaheding SDevabhaktuni V(2022)Jamming Detection and Classification in OFDM-Based UAVs via Feature- and Spectrogram-Tailored Machine LearningIEEE Access10.1109/ACCESS.2022.315002010(16859-16870)Online publication date: 2022
https://doi.org/10.1109/ACCESS.2022.3150020
Kosmanos DKaragiannis DArgyriou ALalis SMaglaras L(2021)RF Jamming Classification Using Relative Speed Estimation in Vehicular Wireless NetworksSecurity and Communication Networks10.1155/2021/99593102021Online publication date: 1-Jan-2021
https://dl.acm.org/doi/10.1155/2021/9959310
Pawlak JLi YPrice JWright MAl Shamaileh KNiyaz QDevabhaktuni V(2021)A Machine Learning Approach for Detecting and Classifying Jamming Attacks Against OFDM-based UAVsProceedings of the 3rd ACM Workshop on Wireless Security and Machine Learning10.1145/3468218.3469049(1-6)Online publication date: 28-Jun-2021
https://dl.acm.org/doi/10.1145/3468218.3469049
Pirayesh HSangdeh PZhang SYan QZeng H(2021)JammingBird: Jamming-Resilient Communications for Vehicular Ad Hoc Networks2021 18th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON)10.1109/SECON52354.2021.9491603(1-9)Online publication date: 6-Jul-2021
https://dl.acm.org/doi/10.1109/SECON52354.2021.9491603
Shetty SH M(2021)Reinforcement Algorithm based Jamming-Detection for Vehicular Ad Hoc Networks2021 IEEE Bombay Section Signature Conference (IBSSC)10.1109/IBSSC53889.2021.9673350(1-5)Online publication date: 18-Nov-2021
https://doi.org/10.1109/IBSSC53889.2021.9673350
Jan SAmin NOthman MAli MUmar ABasir A(2021)A Survey on Privacy-Preserving Authentication Schemes in VANETs: Attacks, Challenges and Open IssuesIEEE Access10.1109/ACCESS.2021.31255219(153701-153726)Online publication date: 2021
https://doi.org/10.1109/ACCESS.2021.3125521
Arif MWang GZakirul Alam Bhuiyan MWang TChen J(2019)A Survey on Security Attacks in VANETs: Communication, Applications and ChallengesVehicular Communications10.1016/j.vehcom.2019.100179(100179)Online publication date: Sep-2019
https://doi.org/10.1016/j.vehcom.2019.100179
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