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A Deep Blockchain-Based Trusted Routing Scheme for Wireless Sensor Networks

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Book cover Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2020 (AISI 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1261))

Abstract

Routing is one of the most important operations in Wireless Sensor Networks (WSNs) as it deals with data delivery to base stations. Routing attacks can easily destroy and significantly degrade the operation of WSNs. A trustworthy routing scheme is very essential to ensure the protection of routing and the efficiency of WSNs. There are a range of studies to boost trustworthiness-between routing nodes, such as cryptographic schemes, trust protection, or centralized routing decisions, etc. Nonetheless, most routing schemes are impossible to implement in real cases, because it is challenging to efficiently classify untrusted actions of routing nodes. In the meantime, there is still no effective way to prevent malicious node attacks. In view of these problems, this paper proposes a trusted routing scheme using fusion of deep-chain, and Markov Decision Processes (MDPs) to improve the routing security and efficiency for WSNs. The proposed model relies on proof of authority mechanism inside the blockchain network to authenticate the process of sending the node. The collection of validators needed for proofing is governed by a deep learning technique focused on the characteristics of each node. In turn, MDPs are implemented to select the right next hop as a forwarding node that can transfer messages easily and safely. From experimental results, we can find that even in the 50% malicious node routing environment, our routing system still has a good delay performance compared to other routing algorithms.

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References

  1. Yang, J., He, S., Xu, Y., Chen, L., Ren, J.: A trusted routing scheme using blockchain and reinforcement learning for wireless sensor networks. Sensors 19(4), 1–19 (2019)

    Article  Google Scholar 

  2. Jiao, Z., Zhang, B., Li, C., Mouftah, H.T.: Backpressure-based routing and scheduling protocols for wireless multihop networks: a survey. IEEE Wirel. Commun. 23(1), 102–110 (2016)

    Article  Google Scholar 

  3. Ahmed, F., Ko, Y.: Mitigation of black hole attacks in routing protocol for low power and lossy networks. Secur. Commun. Netw. 9(18), 5143–5154 (2016)

    Article  Google Scholar 

  4. Gomez-Arevalillo, A., Papadimitratos, P.: Blockchain-based public key infrastructure for inter-domain secure routing. In: International Workshop on Open Problems in Network Security, pp. 20–38, Italy (2017)

    Google Scholar 

  5. Bach, L.M., Mihaljevic, B., Zagar, M.: Comparative analysis of blockchain consensus algorithms. In: Proceedings of the IEEE International Convention on Information and Communication Technology, Electronics and Microelectronics, pp. 1545–1550, Croatia (2018)

    Google Scholar 

  6. Bogner, A., Chanson, M., Meeuw, A.: A decentralized sharing app running a smart contract on the Ethereum blockchain. In: Proceedings of the 6th International Conference on the Internet of Things, pp. 177–178, Germany (2016)

    Google Scholar 

  7. Wang, E., Nie, Z., Du, Z., Ye, Y.: MDPRP: Markov decision process based routing protocol for mobile WSNs. Commun. Comput. Inf. Sci. Book Series 698, 91–99 (2016)

    Google Scholar 

  8. Wang, Y., Ye, Z., Wan, P., Zhao, J.: A survey of dynamic spectrum allocation based on reinforcement learning algorithms in cognitive radio networks. Artif. Intell. Rev. 51(3), 493–506 (2018). https://doi.org/10.1007/s10462-018-9639-x

    Article  Google Scholar 

  9. Arfat, Y., Shaikh, A.: A survey on secure routing protocols in wireless sensor networks. Int. J. Wirel. Microw. Technol. 6(3), 9–19 (2016)

    Article  Google Scholar 

  10. Deepa, C., Latha, B.: HHCS hybrid hierarchical cluster based secure routing protocol for wireless sensor networks. In: Proceedings of the IEEE International Conference on Information Communication and Embedded Systems, pp. 1–6, India (2014)

    Google Scholar 

  11. Khan, F.: Secure communication and routing architecture in wireless sensor networks. In: Proceedings of the IEEE 3rd Global Conference on Consumer Electronics, pp. 647–650, Japan (2014)

    Google Scholar 

  12. De la Rocha, A., Arevalillo, G., Papadimitratos, P.: Blockchain-based public key infrastructure for inter-domain secure routing. In: Proceedings of the International Workshop on Open Problems in Network Security, pp. 20–38, Italy (2017)

    Google Scholar 

  13. Li, J., Liang, G., Liu, T.: A novel multi-link integrated factor algorithm considering node trust degree for blockchain-based communication. KSII Trans. Internet Inf. Syst. 11(8), 3766–3788 (2017)

    Google Scholar 

  14. Ramezan, G., Leung, C.: A blockchain-based contractual routing protocol for the Internet of Things using smart contracts. Wirel. Commun. Mob. Comput. 2018, 1–14 (2018). Article ID 4029591

    Google Scholar 

  15. Rehan, W., Fischer, S., Rehan, M., Husain, M.: A comprehensive survey on multichannel routing in wireless sensor networks. J. Netw. Comput. Appl. 95, 1–25 (2017)

    Article  Google Scholar 

  16. Kim, H.-Y.: An energy-efficient load balancing scheme to extend lifetime in wireless sensor networks Expert Syst. Appl. Clust. Comput. 19(1), 279–283 (2016)

    Google Scholar 

  17. Darwish, S., El-Dirini, M., Abd El-Moghith, I.: An adaptive cellular automata scheme for diagnosis of fault tolerance and connectivity preserving in wireless sensor networks. Alexandria Eng. J. 57(4), 4267–4275 (2018)

    Article  Google Scholar 

  18. Wang, T., Wen, C.K., Wang, H., Gao, F., Jiang, T., Jin, S.: Deep learning for wireless physical layer: opportunities and challenges. China Commun. 14(11), 92–111 (2017)

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Information Technology, Institute of Graduate Studies and Research, Alexandria University, Alexandria, Egypt

    Ibrahim A. Abd El-Moghith & Saad M. Darwish

Authors
  1. Ibrahim A. Abd El-Moghith
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  2. Saad M. Darwish
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Corresponding author

Correspondence to Ibrahim A. Abd El-Moghith .

Editor information

Editors and Affiliations

  1. Faculty of Computers and Artificial Intelligence, Information Technology Department, and Chair of the Scientific Research Group in Egypt, Cairo University, Cairo, Egypt

    Aboul Ella Hassanien

  2. Department of Electronics and Computer Science, Koszalin University of Technology, Koszalin, Poland

    Adam Slowik

  3. Faculty of Electrical Engineering and Computer Science, VŠB-Technical University of Ostrava, Ostrava-Poruba, Moravskoslezsky, Czech Republic

    Václav Snášel

  4. Rector of the Electronic Research Institute, Cairo, Egypt

    Hisham El-Deeb

  5. Faculty of computers and information, Ain Shams University, Cairo, Egypt

    Fahmy M. Tolba

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Abd El-Moghith, I.A., Darwish, S.M. (2021). A Deep Blockchain-Based Trusted Routing Scheme for Wireless Sensor Networks. In: Hassanien, A.E., Slowik, A., Snášel, V., El-Deeb, H., Tolba, F.M. (eds) Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2020. AISI 2020. Advances in Intelligent Systems and Computing, vol 1261. Springer, Cham. https://doi.org/10.1007/978-3-030-58669-0_26

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