research-article

Using Mathematical Methods Against Denial of Service (DoS) Attacks in VANET

Authors:

Youssef Lahrouni,

Caroly Pereira,

Boucif Amar Bensaber,

Ismaïl BiskriAuthors Info & Claims

MobiWac '17: Proceedings of the 15th ACM International Symposium on Mobility Management and Wireless Access

Pages 17 - 22

https://doi.org/10.1145/3132062.3132065

Published: 21 November 2017 Publication History

Get Access

Abstract

VANET network is a new technology on which future intelligent transport systems are based; its purpose is to develop the vehicular environment and make it more comfortable. In addition, it provides more safety for drivers and cars on the road. Therefore, we have to make this technology as secured as possible against many threats. As VANET is a subclass of MANET, it has inherited many security problems but with a different architecture and DOS attacks are one of them. In this paper, we have focused on DOS attacks that prevent users to receive the right information at the right moment. We have analyzed DOS attacks behavior and effects on the network using different mathematical models in order to find an efficient solution.

References

[1]

https://en.wikipedia.org/wiki/Intelligent_transportation_system (25/07/2016)

Google Scholar

[2]

Usha Devi Gandhi, R.V.S.M Keerthana "Request Response Detection Algorithm for Detecting DoS Attack in VANET",International Conference on Reliability, Optimization and Information Technology, MRIU, India, Feb 6--8 2014. Electronic ISBN: 978-1-4799-2995-5.

Google Scholar

[3]

Li He, Wen Tao Zhu Mitigating DoS Attacks against Signature-Based Authentication in VANETs, IEEE International Conference on Computer Science and Automation Engineering (CSAE), 2012. Electronic ISBN: 978-1-4673-0089-6

Crossref

Google Scholar

[4]

Karan Verma, Halabi Hasbullah, Ashok Kumar, An Efficient Defense Method against UDP Spoofed Flooding Traffic of Denial of Service (DoS) Attacks in VANET, 978-1-4673-4529-3/$31.00. Advance Computing Conference (IACC), 22--23 Feb. 2013 IEEE 3rd International. Electronic ISBN: 978-1-4673-4529-3.

Crossref

Google Scholar

[5]

Karan Verma, Halabi Hasbullah IP-CHOCK (filter)-Based Detection Scheme for Denial of Service (DoS) attacks in VANET, International Conference on Computer and Information Sciences (ICCOINS), 2014. Electronic ISBN: 978-1-4799-4390-6

Google Scholar

[6]

Karan Verma, Halabi Hasbullah, Hemant Kumar Saini, Reference Broadcast Synchronization-Based Prevention to DoS attacks in VANET, Seventh International Conference on Contemporary Computing (IC3), 7--9 Aug. 2014. Electronic ISBN: 978-1-4799-5173-4

Google Scholar

[7]

Jalel Ben-Othman, Lynda Mokdad Modeling and Verification Tools for jamming attacks in VANETS, Globcom 2014 -- Wireless Networking Symposium. 2014. Electronic ISBN: 978-1-4799-3512-3

Google Scholar

[8]

Adil Mudasir Malla, IndiaRavi Kant Sahu Security attacks with an effective solution for DOS attacks in VANET. International Journal of Computer Applications (0975--8887) Volume 66--No.22, March 2013.

Google Scholar

[9]

Laroussi Karim, Amar Bensaber Boucif, Mesfioui Mhamed, Biskri Ismail A probabilistic model to corroborate three attacks in Vehicular Ad hoc Networks, 2015 IEEE Symposium on Computers and Communication (ISCC), 6--9 July 2015. Electronic ISBN: 978-1-4673-7194-0.

Digital Library

Google Scholar

[10]

http://wiki.appvisor.org/XLSTAT (19/08/2017)

Google Scholar

[11]

https://en.wikipedia.org/wiki/Mean_squared_error (01/11/2016)

Google Scholar

[12]

Angkoon Phinyomark, Chusak Limsakul, and Pornchai Phukpattaranont" A Novel Feature Extraction for Robust EMG Pattern Recognition" Journal of computing, Volume 1, ISSUE 1, pp 71--80 December 2009, ISSN: 2151-9617.

Google Scholar

[13]

Romain Coussement, Boucif Amar Bensaber, Ismail Biskri "Decision support protocol for intrusion detection in VANETs", Modeling, Analysis and Simulation of Wireless and Mobile Systems. Barcelona, Spain November 03 - 08, 2013, ISBN: 978-1-4503-2358-1.

Digital Library

Google Scholar

Cited By

View all

Dinh MPatel MDas TShukla R(2024)Small, but Mighty: Lightweight ML-Enabled Intrusion Detection Framework for Vehicular Ad-Hoc Networks2024 IEEE 3rd World Conference on Applied Intelligence and Computing (AIC)10.1109/AIC61668.2024.10795451(1-6)Online publication date: 27-Jul-2024
https://doi.org/10.1109/AIC61668.2024.10795451
Mwanje MKaiwartya OAljaidi MCao YKumar SJha DNaser ALloret J(2024)Cyber security analysis of connected vehiclesIET Intelligent Transport Systems10.1049/itr2.1250418:7(1175-1195)Online publication date: 12-Apr-2024
https://doi.org/10.1049/itr2.12504
Nonvignon TBoucif AMhamed M(2022)A Copula-Based Attack Prediction Model for Vehicle-to-Grid NetworksApplied Sciences10.3390/app1208383012:8(3830)Online publication date: 11-Apr-2022
https://doi.org/10.3390/app12083830
Show More Cited By

Index Terms

Using Mathematical Methods Against Denial of Service (DoS) Attacks in VANET

Recommendations

Surviving Distributed Denial-of-Service Attacks

A series of distributed denial-of-service (DDoS) attacks were launched against computer systems and services in the US and South Korea beginning July 4th. A DDoS attack is an attempt to make a computer service unavailable to its intended users. The ...
Prevention of DoS Attacks in VANET

Privacy and Security have become an indispensable matter of attention in the Vehicular Ad-Hoc Network, which is vulnerable to many security threats these days. One of them is the Denial of Service (DoS) attacks, where a malicious node forges a large ...
Prevention of DoS Attacks Based on Light Weight Dynamic Key Mechanism in Hierarchical Wireless Sensor Networks
FGCN '08: Proceedings of the 2008 Second International Conference on Future Generation Communication and Networking - Volume 01

Denial of service (DoS) attack is an impelling inside attack in the form of interference or collision at the receiver side, which can causes serious damage to the functions of wireless sensor networks (WSNs). In this paper, we propose a solution using ...

Comments

Information & Contributors

Information

Published In

MobiWac '17: Proceedings of the 15th ACM International Symposium on Mobility Management and Wireless Access

November 2017

166 pages

ISBN:9781450351638

DOI:10.1145/3132062

General Chair:
Ángel Cuevas
Universidad Carlos III de Madrid, Spain
,
Program Chairs:
Robson De Grande
Brock University, Canada
,
Amir Darehshoorzadeh
CISCO, Canada

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]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 21 November 2017

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article

Funding Sources

Natural Sciences and Engineering Research Council of Canada

Conference

MSWiM '17

Sponsor:

SIGSIM

MSWiM '17: 20th ACM Int'l Conference on Modelling, Analysis and Simulation of Wireless and Mobile Systems

November 21 - 25, 2017

Florida, Miami, USA

Acceptance Rates

Overall Acceptance Rate 83 of 272 submissions, 31%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

8
Total Citations
View Citations
179
Total Downloads

Downloads (Last 12 months)3
Downloads (Last 6 weeks)0

Reflects downloads up to 07 Mar 2025

Other Metrics

View Author Metrics

Citations

Cited By

View all

Dinh MPatel MDas TShukla R(2024)Small, but Mighty: Lightweight ML-Enabled Intrusion Detection Framework for Vehicular Ad-Hoc Networks2024 IEEE 3rd World Conference on Applied Intelligence and Computing (AIC)10.1109/AIC61668.2024.10795451(1-6)Online publication date: 27-Jul-2024
https://doi.org/10.1109/AIC61668.2024.10795451
Mwanje MKaiwartya OAljaidi MCao YKumar SJha DNaser ALloret J(2024)Cyber security analysis of connected vehiclesIET Intelligent Transport Systems10.1049/itr2.1250418:7(1175-1195)Online publication date: 12-Apr-2024
https://doi.org/10.1049/itr2.12504
Nonvignon TBoucif AMhamed M(2022)A Copula-Based Attack Prediction Model for Vehicle-to-Grid NetworksApplied Sciences10.3390/app1208383012:8(3830)Online publication date: 11-Apr-2022
https://doi.org/10.3390/app12083830
Sangwan ASangwan ASingh R(2022)A Classification of Misbehavior Detection Schemes for VANETs: A SurveyWireless Personal Communications10.1007/s11277-022-10098-1129:1(285-322)Online publication date: 30-Oct-2022
https://doi.org/10.1007/s11277-022-10098-1
Verma ASaha RKumar GKim T(2021)The Security Perspectives of Vehicular Networks: A Taxonomical Analysis of Attacks and SolutionsApplied Sciences10.3390/app1110468211:10(4682)Online publication date: 20-May-2021
https://doi.org/10.3390/app11104682
Siddiqui ABoukerche A(2021)A Novel Lightweight Defense Method Against Adversarial Patches-Based Attacks on Automated Vehicle Make and Model Recognition SystemsJournal of Network and Systems Management10.1007/s10922-021-09608-629:4Online publication date: 31-May-2021
https://doi.org/10.1007/s10922-021-09608-6
Javed MShafiq HAlam KJamil ASattar M(2019)VANET's Security Concerns and SolutionsProceedings of the 3rd International Conference on Future Networks and Distributed Systems10.1145/3341325.3342028(1-12)Online publication date: 1-Jul-2019
https://dl.acm.org/doi/10.1145/3341325.3342028
Kumar SMann K(2018)Detection of Multiple Malicious Nodes Using Entropy for Mitigating the Effect of Denial of Service Attack in VANETs2018 4th International Conference on Computing Sciences (ICCS)10.1109/ICCS.2018.00018(72-79)Online publication date: Aug-2018
https://doi.org/10.1109/ICCS.2018.00018

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Abstract

References

Cited By

Index Terms

Recommendations

Surviving Distributed Denial-of-Service Attacks

Prevention of DoS Attacks in VANET

Prevention of DoS Attacks Based on Light Weight Dynamic Key Mechanism in Hierarchical Wireless Sensor Networks

Comments

Information

Published In

Sponsors

Publisher

Publication History

Permissions

Check for updates

Author Tags

Qualifiers

Funding Sources

Conference

Acceptance Rates

Contributors

Other Metrics

Bibliometrics

Article Metrics

Other Metrics

Citations

Cited By

Login options

Full Access

View options

PDF

eReader

Share

Share this Publication link

Share on social media

Affiliations