Auto-metric Graph Neural Network based Blockchain Technology for Secured Dynamic Optimal Routing in MANET

Auto-metric Graph Neural Network based Blockchain Technology for Secured Dynamic Optimal Routing in MANET

Автор: Francis H. Shajin, Muthusamy Palaniappan, P. Rajesh

Журнал: International Journal of Computer Network and Information Security @ijcnis

Статья в выпуске: 1 vol.16, 2024 года.

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Mobile ad hoc network (MANET) routing is a generous tactic used for allocating packets to the base station (BS). During the operations of routing, occurrence of malicious node embellishes the mobile ad hoc network operations. For that reason, a trusted distributed routing protocol is obliged that maintains the routing buttressing and the proficiency of mobile ad hoc network. To overcome these challenging issues, Auto-Metric Graph Neural Network based Blockchain technology is proposed in this manuscript for Secured Dynamic Optimal Routing in MANET (BC-SDOR-MANET-AGNN). The proposed approach is simulated in NS-2 tool. The proposed BC-SDOR-MANET-AGNN approach attains 76.26%, 65.57%, 42.9% minimal delay during 25% malicious routing environment, 73.06%, 63.82%, 38.84% less delay during 50% malicious routing environment when analyzed to the existing models, like enhanced hybrid secure multipath routing protocol for MANET (BC-SDOR-MANET-GAHC), an improved ad hoc on-demand distance vector routing security approach based on BC technology in MANET (BC-SDOR-MANET-AODV-MQS) and block chain-based better approach for the mobile ad-hoc networking protocol using ensemble algorithm (BC-SDOR-MANET-E-BATMAN) methods.

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Auto-metric Graph Neural Network, Block Chain Technology, Malicious Node Attacks Mobile ad Hoc Network, Trusted Distributed Routing Protocol

Короткий адрес: https://sciup.org/15018826

IDR: 15018826   |   DOI: 10.5815/ijcnis.2024.01.10

Список литературы Auto-metric Graph Neural Network based Blockchain Technology for Secured Dynamic Optimal Routing in MANET

  • C. Machado, and C.M. Westphall, “Blockchain incentivized data forwarding in MANETs: Strategies and challenges. “Ad Hoc Networks, vol. 110, pp.102321, 2021.
  • M.T.Lwin, J. Yim, and Y.B.Ko, “Blockchain-based lightweight trust management in mobile ad-hoc networks.”Sensors,vol. 20, no.3, pp.698, 2020.
  • G.Liu, H.Dong, Z.Yan, X. Zhou, and S.Shimizu, “B4SDC: A blockchain system for security data collection in MANETs.”IEEE Transactions on Big Data, 2020.
  • M.Banerjee, J.Lee, and K.K.R.Choo, “A blockchain future for internet of things security: a position paper.”Digital Communications and Networks, vol. 4, no. 3, pp.149-160, 2018.
  • S.Sharma, and S.Saxena,“Blockchain and UAV: Security, Challenges and Research Issues.”In International Conference on Unmanned Aerial System in Geomatics, (pp. 99-107). 2019 Springer, Cham.
  • G.P.Joshi, E.Perumal, K.Shankar, U.Tariq, T.Ahmad, and A.Ibrahim, “Towardblockchain-enabled privacy-preserving data transmission in cluster-based vehicular networks.”Electronics,vol.9, no.9,pp.1358, 2020.
  • N. Hu, Z.Tian, Y.Sun, L.Yin, B. Zhao, X. Du, and N. Guizani, “Building agile and resilient uav networks based on sdn and blockchain.”IEEE Network, vol. 35, no.1, pp.57-63, 2021.
  • V.L.Narayana, A.P.Gopi, and K.Chaitanya, “Avoiding Interoperability and Delay in Healthcare Monitoring System Using Block Chain Technology.”Rev. d'IntelligenceArtif, vol.33, no. 1, pp.45-48, 2019.
  • V.Verma, and V.K. Jha, “Detection and Prevention of Vampire Attack for MANET.”In Nanoelectronics, Circuits and Communication Systems, (pp. 81-90), 2021. Springer, Singapore.
  • M. Usman, M. Jan, X. He, P. Nanda, “QASEC: A secured data communication scheme for mobile Ad-hoc networks.”Future Generation Computer Systems, vol.109 pp.604-610, 2020.
  • H. Kanagasundaram, A. Kathirvel, “EIMO-ESOLSR: energy efficient and security-based model for OLSR routing protocol in mobile ad-hoc network.”IET Communications, Vol.13, no. 5, pp.553-559, 2019.
  • P. Singh, M. Khari, and S. Vimal, “EESSMT: an energy efficient hybrid scheme for securing mobile ad hoc networks using IoT.” Wireless Personal Communications, pp.1-25, 2021.
  • H. Xu, H. Si, H. Zhang, L. Zhang, Y. Leng, J. Wang, and D. Li, “Trust-based probabilistic broadcast scheme for mobile ad hoc networks.” IEEE Access, vol. 8, pp.21380-21392, 2020.
  • E. Elmahdi, S.M. Yoo, and K. Sharshembiev, “Secure and reliable data forwarding using homomorphic encryption against blackhole attacks in mobile ad hoc networks.” Journal of Information Security and Applications, vol. 51, p.102425, 2020.
  • B.K. Tripathy, S.K. Jena, P. Bera, and S. Das, “An adaptive secure and efficient routing protocol for mobile ad hoc networks.” Wireless Personal Communications, vol. 114, no. 2, pp.1339-1370, 2020.
  • M. Sirajuddin, C. Rupa, C. Iwendi, and C. Biamba, “TBSMR: a trust-based secure multipath routing protocol for enhancing the qos of the mobile ad hoc network.” Security and Communication Networks, 2021, 2021.
  • R. Prasad, “Enhanced Energy Efficient Secure Routing Protocol For Mobile Ad-Hoc Network.” Global Transitions Proceedings, 2021.
  • X.Song, M.Mao, and X.Qian, “Auto-Metric Graph Neural Network Based on a Meta-Learning Strategy for the Diagnosis of Alzheimer's Disease.”IEEE Journal of Biomedical and Health Informatics, vol.25, no.8, pp.3141-3152, 2021.
  • U.Srilakshmi, N.Veeraiah, Y.Alotaibi, S.A.Alghamdi, O.I. Khalaf, and B.V.Subbayamma, “An Improved Hybrid Secure Multipath Routing Protocol for MANET.”IEEE Access, vol. 9, pp.163043-163053, 2021.
  • C.Ran, S.Yan, L.Huang, and L.Zhang,“An improved AODV routing security algorithm based on blockchain technology in ad hoc network.” EURASIP Journal on Wireless Communications and Networking, vol.1, pp.1-16, 2021.
  • U.Singh, S.K.Sharma, M.Shukla, and P.Jha, “Blockchain-based BATMAN protocol using Mobile ad-hoc Network (MANET) with an Ensemble Algorithm.” 2021.
  • J.Wang, Y.Liu, S.Niu, and H.Song, “Lightweight blockchain assisted secure routing of swarm UAS networking.”Computer Communications, vol. 165, pp.131-140, 2021.
  • S.Xu, B.Liao, C.Yang, S.Guo, B.Hu, J.Zhao, and L.Jin, “Deep reinforcement learning assisted edge-terminal collaborative offloading algorithm of blockchain computing tasks for energy Internet.” International Journal of Electrical Power & Energy Systems, vol.131, pp.107022, 2021.
  • Z. Jiao, B. Zhang, L. Zhang, M. Liu, W. Gong, C. Li, “A Blockchain-Based Computing Architecture for Mobile Ad Hoc Cloud.”IEEE Netw. Vol. 34, no. 4, pp.140-149, 2020.
  • X. Wang, P. Zhang, Y. Du, M. Qi,“Trust Routing Protocol Based on Cloud-Based Fuzzy Petri Net and Trust Entropy for Mobile Ad hoc Network.”IEEE Access, Vol. 8, pp.47675-47693, 2020.
  • U. Singh, S.K. Sharma, M. Shukla, and P. Jha, “Blockchain-based BATMAN protocol using Mobile ad-hoc Network (MANET) with an Ensemble Algorithm,” 2021.
  • G. Liu, H. Dong, Z. Yan, X. Zhou, and S. Shimizu, “B4SDC: A blockchain system for security data collection in MANETs.” IEEE Transactions on Big Data, 2020
  • M.T. Lwin, J. Yimand Y.B. Ko, “Blockchain-based lightweight trust management in mobile ad-hoc networks.” Sensors, vol. 20, no. 3, p.698, 2020.
  • M.M. Mukhedkar, and U. Kolekar, “E-TDGO: An encrypted trust-based dolphin glowworm optimization for secure routing in mobile ad hoc network.” International Journal of Communication Systems, vol. 33, no. 7, pp.e4252, 2020.
  • A.B. AM, “High energy efficient lifetime management system and trust management framework for manet using self-configurable cluster mechanism.” Peer-to-Peer Networking and Applications, vol. 14, no. 3, pp.1229-1241, 2021.
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