Skip to main content

Detection and Prevention of Black Hole Attack Using Trusted and Secure Routing in Wireless Sensor Network

  • Conference paper
  • First Online:
Hybrid Intelligent Systems (HIS 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1179))

Included in the following conference series:

Abstract

A wireless sensor network (WSN) is a network of devices that can communicate after gathering information by monitoring any region through wireless links. Due to this delicate arrangement several numbers of attacks directly affects the WSN functions especially denial of service (DoS). DoS is the most popular and frequent among all to affect WSN. Recently, blackhole attack has taken over it and comprises security and integrity of WSN. Secure and reliable data transmissions are the prime requirements of WSN but new evolving attacks are threats to achieve this objective. This paper proposes an algorithm that detects and recovers nodes from blackhole assaults in WSN. The proposed algorithm Trusted and Secure routing (TSR) involves detector nodes, moves in the network algorithm identifies blackhole attacks in the network, marks this node as balckhole and subsequently excludes from the network. It enables to transmit data securely with alternate path using detector node. The proposed algorithm increases the performance and the delivery ratio of data in WSN. The experimental results show reliable and secure data transmission from DoS and blackhole attacks.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • 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

References

  1. Cao, Q., Abdelzaher, T., Stankovic, J., Whitehouse, K., Luo, L.: Declarative tracepoints: a programmable and application independent debugging system for wireless sensor networks. In: Proceedings of the ACM SenSys, Raleigh, NC, USA, pp. 85–98 (2008)

    Google Scholar 

  2. Shu, T., Krunz, M., Liu, S.: Secure data collection in wireless sensor networks using randomized dispersive routes. IEEE Trans. Mobile Comput. 9(7), 941–954 (2010)

    Article  Google Scholar 

  3. Souihli, O., Frikha, M., Hamouda, B.M.: Load-balancing in MANET shortest-path routing protocols. Ad Hoc Netw. 7(2), 431–442 (2009)

    Article  Google Scholar 

  4. Khan, S., Prasad, R., Saurabh, P., Verma, B.: Weight based secure approach for identifying selfishness behavior of node in MANET. In: Satapathy, S., Tavares, J., Bhateja, V., Mohanty, J. (eds.) Information and Decision Sciences. Advances in Intelligent Systems and Computing, vol. 701, pp. 387–397. Springer, Singapore (2017)

    Chapter  Google Scholar 

  5. Aad, I., Hubaux, J.-P., Knightly, W.E.: Impact of denial of service attacks on ad hoc networks. IEEE-ACM Trans. Netw. 16(4), 791–802 (2008)

    Article  Google Scholar 

  6. Mandala, S., Jenni, K., Ngadi, A., Kamat, M., Coulibaly, Y.: Quantifying the severity of blackhole attack in wireless mobile adhoc networks. In: Security in Computing and Communications. Springer, Heidelberg (2014)

    Google Scholar 

  7. Liu, Y., Dong, M., Ota, K., Liu, A.: ActiveTrust: secure and trustable routing in wireless sensor networks. IEEE Trans. Inf. Forensics Secur. 11(9), 2013–2028 (2016)

    Article  Google Scholar 

  8. Dong, M., Ota, K., Liu, A., Guo, M.: Joint optimization of lifetime and transport delay under reliability constraint wireless sensor networks. IEEE Trans. Parallel Distrib. Syst. 27(1), 225–236 (2016)

    Article  Google Scholar 

  9. Liu, X., Dong, M., Ota, K., Hung, P., Liu, A.: Service pricing decision in cyber-physical systems: insights from game theory. IEEE Trans. Serv. Comput. 9(2), 186–198 (2016)

    Article  Google Scholar 

  10. Dong, W., Liu, Y., He, Y., Zhu, T., Chen, C.: Measurement and analysis on the packet delivery performance in a large-scale sensor network. IEEE/ACM Trans. Netw. 22(6), 1952–1963 (2014)

    Article  Google Scholar 

  11. Illiano, P.V., Lupu, C.E.: Detecting malicious data injections in event detection wireless sensor networks. IEEE Trans. Netw. Serv. Manag. 12(3), 496–512 (2015)

    Article  Google Scholar 

  12. Ma, Q., Liu, K., Zhu, T., Gong, W., Liu, Y.: BOND: exploring hidden bottleneck nodes in large-scale wireless sensor networks. In: Proceedings of the IEEE ICDCS, Madrid, Spain, pp. 399–408 (2014)

    Google Scholar 

  13. Magistretti, E., Gurewitz, O., Knightly, E.: Inferring and mitigating a link’s hindering transmissions in managed 802.11 wireless networks. In: Proceedings of the ACM MobiCom, Chicago, IL, USA, pp. 305–316 (2010)

    Google Scholar 

  14. Son, D., Krishnamachari, B., Heidemann, J.: Experimental analysis of concurrent packet transmissions in low-power wireless networks. In: Proceedings of the ACM SenSys, San Diego, CA, USA, pp. 237–250 (2005)

    Google Scholar 

  15. Li, X., Ma, Q., Cao, Z., Liu, K., Liu, Y.: Enhancing visibility of network performance in large-scale sensor networks. In: Proceedings of the IEEE ICDCS, Madrid, Spain, pp. 409–418 (2014)

    Google Scholar 

  16. Saurabh, P., Verma, B.: An efficient proactive artificial immune system based anomaly detection and prevention system. Expert Syst. Appl. 60, 311–320 (2016)

    Article  Google Scholar 

  17. Saurabh, P., Verma, B.: Immunity inspired cooperative agent based security system. Int. Arab J. Inf. Technol. 15(2), 289–295 (2018)

    Google Scholar 

  18. Saurabh, P., Verma, B., Sharma, S.: An immunity inspired anomaly detection system: a general framework. In: Proceedings of Seventh International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA 2012). Advances in Intelligent Systems and Computing, vol. 202, pp. 417–428. Springer (2012)

    Google Scholar 

  19. Saurabh, P., Verma, B., Sharma, S.: Biologically inspired computer security system: the way ahead. In: Recent Trends in Computer Networks & Distributed Systems Security. CCIS, vol. 335, pp. 474–484. Springer (2011)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to Dhananjay Bisen , Ritu Prasad or Praneet Saurabh .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 The Editor(s) (if applicable) and 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

Bisen, D., Barmaiya, B., Prasad, R., Saurabh, P. (2021). Detection and Prevention of Black Hole Attack Using Trusted and Secure Routing in Wireless Sensor Network. In: Abraham, A., Shandilya, S., Garcia-Hernandez, L., Varela, M. (eds) Hybrid Intelligent Systems. HIS 2019. Advances in Intelligent Systems and Computing, vol 1179. Springer, Cham. https://doi.org/10.1007/978-3-030-49336-3_30

Download citation

Publish with us

Policies and ethics