A Novel Dynamic Authentication Method for Sybil Attack Detection and Prevention in Wireless Sensor Networks | SpringerLink
Skip to main content

A Novel Dynamic Authentication Method for Sybil Attack Detection and Prevention in Wireless Sensor Networks

  • Conference paper
  • First Online:
Advanced Information Networking and Applications (AINA 2021)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 225))

Abstract

One of the most concerns in wireless sensor networks is security. Wireless sensor networks are vulnerable to attacks in every layer of the network. They are extremely necessitous for securing network protection. Sybil attack is one of those attacks in which a legal node is converted into a Sybil one which is a replica node with a different personality using a similar ID. This kind of identity theft attack can be classified as Sybil attack. This attack mainly influences routing protocols and operations such as voting, data aggregation and reputation evaluation. This paper proposes a dynamic and accurate method for Sybil attack detection and prevention. The proposed method generates a routing table that holds information about deployed nodes. The base station verifies the keys of nodes that will communicate and transmit data between them. Data transmission occurs between nodes once they get the signal from the base station. The message authentication method will progress data transmission in the network and enhance the throughput compared to RPC.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
¥17,985 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
JPY 3498
Price includes VAT (Japan)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
JPY 22879
Price includes VAT (Japan)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
JPY 28599
Price includes VAT (Japan)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Rawat, P., Singh, K.D., Chaouchi, H., Bonnin, J.M.: Wireless sensor networks: a survey on recent developments and potential synergies. J. Supercomput. 68, 1–48 (2014)

    Google Scholar 

  2. Manjunatha, T.N, Sushma, M.D., Shivakumar, K.M.: Security concepts and sybil attack detection in wireless sensor networks (2016)

    Google Scholar 

  3. Akyildiz, I.F., Kasimoglu, I.H.: Wireless sensor and actor networks: research challenges. Ad Hoc Networks (2014)

    Google Scholar 

  4. Dhamodharan, U.S.R.K., Vayanaperumal, R.: Detecting and preventing sybil attacks in wireless sensor networks using message authentication and passing method (2015)

    Google Scholar 

  5. Newsome, J., Shi, E., Song, D., Perrig, A.: Te sybil attack in sensor networks: analysis and defenses. In: International Symposium on Information Processing in Sensor Networks (2004)

    Google Scholar 

  6. Ssu, K.F., Wang, W.T., Chang, W.C.: Detecting sybil attacks in wireless sensor networks using neighboring information. Proc. Comput. Networks 53, 3042–3056 (2009)

    Google Scholar 

  7. Demirbas, M., Song, Y.: An RSSI-based scheme for Sybil attack detection in wireless sensor networks. In: IEEE Computer Society International Symposium on World of Wireless, Mobile and Multimedia Networks (2006)

    Google Scholar 

  8. Amuthavalli, R., Bhuvaneswaran, R.S.: Detection and prevention of sybil attack in wireless sensor network employing random password comparison method. J. Theoricaland Appl. Inf. Technol. 67(1), 236–246 (2014)

    Google Scholar 

  9. Jangra, A., Priyanka, S.: Securing LEACH protocol from Sybil attack using jakes channel scheme (JCS). In: International Conferences on Advances in ICT for Emerging Regions (2011)

    Google Scholar 

  10. Rafeh, R., Khodadadi, M.: Detecting Sybil nodes in wireless sensor networks using two-hop messages. Indian J. Sci. Technol. 7(9), 1359–1368 (2014)

    Google Scholar 

  11. Jamshidi, M., Ranjbari, M., Esnaashari, M., Qader, N.N., Meybodi, M.R.: Sybil node detection in mobile wireless sensor networks using observer nodes. Int. J. Inf. Visualization 2(3), 159–165 (2018)

    Google Scholar 

  12. Birami, K.S.: Sybil attack in Wireless Sensor Network (2016)

    Google Scholar 

  13. Sharmila, S., Umamaheswari, G.: Detection of Sybil attack in Mobile Wireless Sensor networks. Int. J. Eng. Sci. Adv. Technol. 2(2), 256–262 (2012)

    Google Scholar 

  14. Douceur, J.R.: The sybil attack. In: International Workshop on Peer-to-Peer Systems, pp. 251–260. Springer, Heidelberg (2002)

    Google Scholar 

  15. Sharmila, S., Umamaheswari, G.: Detection of sybil attack in mobile wireless sensor networks. Int. J. Eng. Sci. Adv. Technol., 256–262 (2017)

    Google Scholar 

  16. Eschenauer, L., Gligor, V.D.: A key-management scheme for distributed sensor networks. In: Proceedings of the 9th ACM Conference on Computer and Communications Security, pp. 41–47 (2002)

    Google Scholar 

  17. Manjunatha, T.N., Sushma, M.D., Shivakumar, K.M.: Sybil Attack Detection Through on Demand Distance Vector Based Algorithm in Wireless Sensor Networks (2015)

    Google Scholar 

  18. Triki, B., Rekhis, S., Boudriga, N.: An RFID based system for the detection of sybil attack in military wireless sensor networks. In: Computer Applications and Information Systems (wccais), World Congress on, pp. 1–2. IEEE (2014)

    Google Scholar 

  19. Sujatha, V., Anita, E.M.: Detection of sybil attack in wireless sensor network (2015)

    Google Scholar 

  20. Sharmila, S., Umamaheswari, G.: Detection of Sybil Attack in Mobile Wireless Sensor Networks (2016)

    Google Scholar 

  21. Muraleedharan, R., Ye, X., Osadciw, L.A.: Prediction of Sybil Attack on WSN using Bayesian Network and Swarm Intelligence. Wireless Sensing and Processing (2008)

    Google Scholar 

  22. Jamshidi, M., Esnaashari, M., Meybodi, M.R.: An algorithm for defending sybil attacks based on client puzzles and learning automata for wireless sensor networks. In: 18th National Conference of Computer Society of Iran (2017)

    Google Scholar 

  23. Sarigiannidis, P., Karapistoli, E., Economides, A.A.: Detecting Sybil attacks in wireless sensor networks using UWB ranging-based information. Expert Systems with Applications, pp. 7560–7572 (2015)

    Google Scholar 

  24. de Sales, T.B.M., Perkusich, A., de Sales, L.M., de Almeida, H.O., Soares, G., de Sales, M.: ASAP-V: a privacy-preserving authentication and sybil detection protocol for VANETs. Inf. Sci. 23(4), 208–224 (2016)

    Google Scholar 

  25. Pecori, R.: S-Kademlia: A trust and reputation method to mitigate a Sybil attack in Kademlia. Comput. Netw. 94, 205–218 (2016)

    Google Scholar 

  26. Prasad, K., Mallick, C.: Mobile agent based sybil attack detection algorithm for wireless sensor network. In: International Conference on Emergent Trends in Computing and Communication (2015)

    Google Scholar 

  27. Jamshidi, M., Zangeneh, E., Esnaashari, M., Meybodi, M.R.: A lightweight algorithm for detecting mobile Sybil nodes in mobile wireless sensor networks. Comput. Electr. Eng. 64, 220–232 (2017)

    Google Scholar 

  28. Angappan, A., Saravanabava, T.P.: Novel Sybil attack detection using RSSI and neighbour information to ensure secure communication in WSN. J. Ambient Intell. Humanized Comput. (2020)

    Google Scholar 

Download references

Acknowledgments

We are grateful for the support of the Department of Electrical and Computer Engineering at the New York University of Abu Dhabi (NYU).

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Jlassi, W., Haddad, R., Bouallegue, R., Shubair, R. (2021). A Novel Dynamic Authentication Method for Sybil Attack Detection and Prevention in Wireless Sensor Networks. In: Barolli, L., Woungang, I., Enokido, T. (eds) Advanced Information Networking and Applications. AINA 2021. Lecture Notes in Networks and Systems, vol 225. Springer, Cham. https://doi.org/10.1007/978-3-030-75100-5_46

Download citation

Publish with us

Policies and ethics