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A Novel Location Pinpointed Anti-Jammer with Knowledged Estimated Localizer for secured Data Transmission in Mobile Wireless Sensor Network

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Abstract

Nowadays mobile/cellular phones are considered as the most common and the key medium for establishing communication amid the sensor nodes in Wireless Sensor Network (WSN). Though Mobile Wireless Sensor networks (MWSN) is highly reliable, often they are susceptible to various Denial-of-Service (DoS) attacks, jamming attack, attacks caused by anomalies, etc. due to its shared and open-access nature, which in turn causes packet loss, delayed packet delivery, routing distractions, etc. Though some kinds of passive attacks, as well as the jamming/malicious nodes, are detected with prior methodologies, they fail to localize the jammer/attacker. In order to arrest all those difficulties we propose, a novel location Pinpointed Anti-jammer with Knowledged Estimated Localizer (KNOWEL). Initially, an energy detector is used here to set the decision threshold. In addition, an adaptive filter is utilized to discriminate the differences amid normal and reactive jammer traffic. Finally, KNOWLE detects the jammer and their exact location by learning the profile of the external attacker. Thus the proposed pinpointed anti-jammer aids secured and reliable data transmission with the detection and localization of jammer/attacker. It thereby enhances the Quality of Services (QoS) with low energy consumption. The proposed work is implemented in MATLAB, whereas the performance is evaluated and is compared with the prior work to ensure its strength over prior works.

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References

  1. Grover, K., Lim, A., & Yang, Q. (2014). Jamming and anti-jamming techniques in wireless networks: A survey. International Journal of Ad Hoc and Ubiquitous Computing, 17(4), 197–215.

    Article  Google Scholar 

  2. Chang, G. Y., Wang, S. Y., & Liu, Y. X. (2017). A jamming-resistant channel hopping scheme for cognitive radio networks. IEEE Transactions on Wireless Communications, 16(10), 6712–6725.

    Article  Google Scholar 

  3. Mokhtar, B., & Azab, M. (2015). Survey on security issues in vehicular ad hoc networks. Alexandria Engineering Journal, 54(4), 1115–1126.

    Article  Google Scholar 

  4. Thanh, P. D., Vu-Van, H., & Koo, I. (2018). Secure multi-hop data transmission in cognitive radio networks under attack in the physical layer. Wireless Personal Communications, 103(2), 1615–1631.

    Article  Google Scholar 

  5. Xu, W., Ma, K., Trappe, W., & Zhang, Y. (2006). Jamming sensor networks: Attack and defense strategies. IEEE Networking, 20(3), 41–47.

    Article  Google Scholar 

  6. Fragkiadakis, A. G., Siris, V. A., Petroulakis, N. E., & Traganitis, A. P. (2015). Anomaly-based intrusion detection of jamming attacks, local versus collaborative detection. Wireless Communications and Mobile Computing, 15(2), 276–294.

    Google Scholar 

  7. Cheng, T., Li, P., & Zhu, S. (2012). An algorithm for jammer localization in wireless sensor networks. In 2012 IEEE 26th international conference on advanced information networking and applications (pp. 724–731).

  8. Hussein, A. A., Rahman, T. A., & Leow, C. Y. (2015). A survey and open issues of jammer localization techniques in wireless sensor networks. Journal of Theoretical and Applied Information Technology, 71(2), 55.

    Google Scholar 

  9. Wang, T., Wei, X., Hu, F., & Fan, J. (2018). Mobile jammer localization and tracking in multi-hop wireless network. Journal of Ambient Intelligence and Humanized Computing, 2, 1–12.

    Google Scholar 

  10. Wei, X., Wang, Q., Wang, T., & Fan, J. (2017). Jammer localization in multi-hop wireless network: A comprehensive survey. IEEE Communications Surveys and Tutorials, 19(2), 765–799.

    Article  MathSciNet  Google Scholar 

  11. Hamida, E. B., Noura, H., & Znaidi, W. (2015). Security of cooperative intelligent transport systems: Standards, threats analysis, and cryptographic countermeasures. Electronics, 4(3), 380–423.

    Article  Google Scholar 

  12. Liu, Z., Liu, H., Xu, W., & Chen, Y. (2014). An error-minimizing framework for localizing jammers in wireless networks. IEEE Transactions on Parallel and Distributed Systems, 25(2), 508–517.

    Article  Google Scholar 

  13. Pang, L., Chen, X., Xue, Z., & Khatoun, R. (2017). A novel range-free jammer localization solution in wireless network by using PSO algorithm. In B. Zou, Q. Han, G. Sun, W. Jing, X. Peng, & Z. Lu (Eds.), International conference of pioneering computer scientists, engineers and educators (pp. 198–211). Berlin: Springer.

    Google Scholar 

  14. Zhang, J., Xu, L., Shen, Q., Ji, X. (2015). Localization for jamming attack in wireless sensor networks. In Intelligent data analysis and applications (pp. 361–369).

  15. Wang, T., Wei, X., Sun, Q., Hu, F. (2017). GSA-Based Jammer Localization in Multi-Hop Wireless Network. In IEEE International conference on computational science and engineering (pp. 410–415).

  16. Cheng, T., Li, P., Zhu, S., & Torrieri, D. (2014). M-cluster and X-ray: Two methods for multi-jammer localization in wireless sensor networks. Integrated Computer-Aided Engineering, 21(1), 19–34.

    Article  Google Scholar 

  17. Wei, X., Wang, T., Tang, C., & Fan, J. (2018). Collaborative mobile jammer tracking in multi-hop wireless network. Future Generation Computer Systems, 78, 1027–1039.

    Article  Google Scholar 

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Correspondence to S. Muthu Mariappan.

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Muthu Mariappan, S., Selvakumar, S. A Novel Location Pinpointed Anti-Jammer with Knowledged Estimated Localizer for secured Data Transmission in Mobile Wireless Sensor Network. Wireless Pers Commun 118, 2073–2094 (2021). https://doi.org/10.1007/s11277-020-07885-z

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  • DOI: https://doi.org/10.1007/s11277-020-07885-z

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