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Sybil Attacks in Intelligent Vehicular Ad Hoc Networks: A Review

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Advanced Multimedia and Ubiquitous Engineering (MUE 2018, FutureTech 2018)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 518))

Abstract

Vehicular Ad-hoc Networks (VANETs) are intelligent transportation system that provides wireless communication between vehicles and different objects in the road to increase human safety. Many security techniques have been developed in order to keep the network protected from various attacks. A Sybil attack is an identity attack in which the malicious node creates fake identities and claims to be a different node. This paper presents literature survey for detecting and preventing Sybil attacks in VANETs.

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References

  1. Al Qatari M, Yeun C, Al-Hawi F (2010) Security and privacy of intelligent VANETs. Comput Intell Modern Heuristics

    Google Scholar 

  2. Toor Y, Mühlethaler P, Laouiti A, Fortelle ADL (2008) Vehicle ad hoc networks: applications and related technical issues. IEEE Com. Surveys & Tutorials, Oct 2008

    Google Scholar 

  3. Chawla A, Patial RK, Kumar D (2016) Comparative analysis of sybil attack detection techniques in VANETs. Indian J Sci Technol 9(47)

    Google Scholar 

  4. Malathi K, Manavalan R (2014) Detection and localization of sybil attack in VANET: a review. Int J Res Appl Sci Eng Technol 2

    Google Scholar 

  5. Bojnord AS, Bojnord HS (2017) A secure model for prevention of sybil attack in vehicular ad hoc networks. IJCSNS Int J Comput Sci Netw Secur 17(1):30

    Google Scholar 

  6. Kamani J, Parikh D (2015) A review on sybil attack detection techniques. J Res 01(01). ISSN:2395–7549

    Google Scholar 

  7. Dak AY, Yahya S, Kassim (2012) A literature survey on security challenges in VANETs. Int J Comput Theory Eng 4(6)

    Google Scholar 

  8. Kushwaha D, Shukla PK, Baraskar R (2014) A survey on sybil attack in vehicular ad-hoc network. Int J Comput Appl 98(15)

    Article  Google Scholar 

  9. Kaur H, Devgan S, Singh P (2006) Sybil attack in VANET. In: International conference on computing for sustainable global development

    Google Scholar 

  10. Grover J, Gaur MS, Laxmi V (2011) A sybil attack detection approach using neighboring vehicles in VANET. In: Conference: proceedings of the 4th international conference on security of information and networks, SIN 2011, Sydney, NSW, Australia, 14–19 Nov 2011

    Google Scholar 

  11. Kaur Saggi M, Kaur R (2015) Isolation of sybil attack in VANET using neighboring information. In: IEEE international advance computing conference (IACC)

    Google Scholar 

  12. Al-Mutaz M, Malott L, Chellappan S (2014) Detecting sybil attacks in vehicular networks. J Trust Manag

    Google Scholar 

  13. Arpita M. Bhise, Shailesh D. Kamble,” Detection and Mitigation of Sybil Attack in Peer-to-peer Network”, I. J. Computer Network and Information Security, 2016

    Google Scholar 

  14. Rahbari M, Jamali MAJ (2011) Efficient detection of sybil attack based on cryptography in VANET. Int J Netw Secur Its Appl (IJNSA) 3(6)

    Article  Google Scholar 

  15. Park S, Aslam B, Turgut D, Zou CC (2009) Defense against sybil attack in vehicular ad hoc network based on roadside unit support. In: Proceedings of the 28th IEEE conference on military communications

    Google Scholar 

  16. Jyoti Grover, Manoj Singh Gaur, Vijay Laxmi,” A Novel Defense Mechanism against Sybil Attacks in VANET”, Sept. 7–11, 2010, Taganrog, Russian Federation

    Google Scholar 

  17. Grover J, Gaur MS, Prajapati N, Laxmi V (2010) RSS-based sybil attack detection in VANETs. In: Conference: TENCON, Japan

    Google Scholar 

  18. Bouassida MS, Guette G, Shawky M, Ducourthial B (2009) Sybil nodes detection based on received signal strength variations within VANET, Int J Netw Secur 9

    Google Scholar 

  19. Krishna N (2016) Detection and prevention of sybil attack in networks Nidhiya Krishna

    Google Scholar 

  20. Rawat P, Sharma S (2016) Review on sybil attack in vehicular ad hoc network. Int J Sci Eng Technology Res (IJSETR), 5(4)

    Google Scholar 

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Acknowledgments

This work is supported by ADEC Award for Research Excellence (A2RE) 2015 and Office of Research and Sponsored Programs (ORSP), Abu Dhabi University.

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Authors and Affiliations

  1. College of Engineering, Abu Dhabi University, Abu Dhabi, UAE

    Aveen Muhamad & Mourad Elhadef

Authors
  1. Aveen Muhamad
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  2. Mourad Elhadef
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Corresponding author

Correspondence to Mourad Elhadef .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Seoul National University of Science and Technology, Seoul, Korea (Republic of)

    James J. Park

  2. Departement of Business Science, University of Salerno, Fisciano, Italy

    Vincenzo Loia

  3. Department of Information Systems and Cyber Security, The University of Texas at San Antonio, San Antonio, TX, USA

    Kim-Kwang Raymond Choo

  4. Department of Multimedia Engineering, Dongguk University, Seoul, Soul-t’ukpyolsi, Korea (Republic of)

    Gangman Yi

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Muhamad, A., Elhadef, M. (2019). Sybil Attacks in Intelligent Vehicular Ad Hoc Networks: A Review. In: Park, J., Loia, V., Choo, KK., Yi, G. (eds) Advanced Multimedia and Ubiquitous Engineering. MUE FutureTech 2018 2018. Lecture Notes in Electrical Engineering, vol 518. Springer, Singapore. https://doi.org/10.1007/978-981-13-1328-8_71

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  • DOI: https://doi.org/10.1007/978-981-13-1328-8_71

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-1327-1

  • Online ISBN: 978-981-13-1328-8

  • eBook Packages: EngineeringEngineering (R0)

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