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Intelligent houses and buildings, autonomous automobiles, drones, robots, and other items that are successfully incorporated into daily life are examples of autonomous systems and the Internet of Things (IoT) that have advanced as research areas. Secured data transfer in untrusted cloud applications has been one of the most significant requirements in the cloud in recent times. In order to safeguard user data from unauthorised users, encrypted data is stored on cloud servers. Existing techniques offer either security or efficiency for data transformation. They fail to retain complete security while undergoing significant changes. This research proposes novel technique in multipath routing based energy optimization of autonomous networks. The main goal of this research is to enhance the secure data transmission in cloud computing with network energy optimization. The secure data transmission is carried out using multi-authentication attribute based encryption with multipath routing protocol. Then the network energy has been optimized using multi-objective fuzzy based reinforcement learning. The experimental analysis has been carried out based on secure data transmission and energy optimization of the network. The parameters analysed in terms of scalability of 79%, QoS of 75%, encryption time of 42%, latency of 96%, energy efficiency of 98%, end-end delay of 45%.
Hossen, M. S., Rahman, M. H., Al-Mustanjid, M., Nobin, M. A. S., & Habib, M. A. (2019, December). Enhancing Quality of Service in SDN based on Multi-path Routing Optimization with DFS. In 2019 International Conference on Sustainable Technologies for Industry 4.0 (STI) (pp. 1-5). IEEE.
Song, L., Jin, Y., Wang, P., Ma, D., Chen, W., & Cui, L. (2021, September). Multi-path Routing Deployment Method Based on SRv6. In 2021 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom) (pp. 723-730). IEEE.
Govindaraj, M., & Arumugam, S. (2021). A trust‐based mechanism in multipath routing using Biogeography‐Shun Optimization. International Journal of Communication Systems, 34(6), e4560.
Ghawy, M. Z., Amran, G. A., AlSalman, H., Ghaleb, E., Khan, J., AL-Bakhrani, A. A., ... & Ullah, S. S. (2022). An Effective Wireless Sensor Network Routing Protocol Based on Particle Swarm Optimization Algorithm. Wireless Communications and Mobile Computing, 2022.
Sirajuddin, M., Rupa, C., Iwendi, C., & Biamba, C. (2021). TBSMR: a trust-based secure multipath routing protocol for enhancing the qos of the mobile ad hoc network. Security and Communication Networks, 2021.
Wang, C., Ren, Z., Cheng, W., & Zhang, H. (2022). CDMR: Effective Computing-Dependent Multi-path Routing Strategies in Satellite and Terrestrial Integrated Networks. IEEE Transactions on Network Science and Engineering.
Hemalatha, R., Umamaheswari, R., & Jothi, S. (2021). LF distribution and equilibrium optimizer based fuzzy logic for multipath routing in MANET. Wireless Personal Communications, 120(2), 1837-1861.
Alappatt, V., & PM, J. P. (2021). Trust-based energy efficient secure multipath routing in MANET using LF-SSO and SH2E. Int. J. Comput. Netw. Appl., 8(4), 400.
Alghamdi, S. A. (2022). Cuckoo energy-efficient load-balancing on-demand multipath routing protocol. Arabian Journal for Science and Engineering, 47(2), 1321-1335.
Yajun, W., & Liang, Z. (2022). Optimization Algorithm for Multipath Transmission of Distance Education Resources Using Reinforcement Learning. Mobile Information Systems, 2022.
Chen, L., Hu, B., Guan, Z. H., Zhao, L., & Shen, X. (2021). Multiagent meta-reinforcement learning for adaptive multipath routing optimization. IEEE Transactions on Neural Networks and Learning Systems.
Sumathi, A. C., Javadpour, A., Pinto, P., Sangaiah, A. K., Zhang, W., & Mahmoodi Khaniabadi, S. (2022). NEWTR: a multipath routing for next hop destination in internet of things with artificial recurrent neural network (RNN). International Journal of Machine Learning and Cybernetics, 1-21.
GowriPrakash, R., Shankar, R., & Duraisamy, S. (2021). Resource utilization prediction with multipath traffic routing for congestion-aware VM migration in cloud computing. Indian Journal of Science and Technology, 14(7), 636-651.
Jha, A., Singh, K. K., Devi, K. V., & Manjula, V. (2021). Reinforcement learning based weighted multipath routing for datacenter networks. Materials Today: Proceedings.
Cai, S., Zhou, F., Zhang, Z., & Meddahi, A. (2021, May). Disaster-resilient service function chain embedding based on multi-path routing. In IEEE INFOCOM 2021-IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) (pp. 1-7). IEEE.
Chahlaoui, F., Dahmouni, H., & El Alami, H. (2022, March). Multipath-routing based load-balancing in SDN networks. In 2022 5th Conference on Cloud and Internet of Things (CIoT) (pp. 180-185). IEEE.
GOWRIPRAKASH, R., SHANKAR, R., & DURAISAMY, S. (2021). Optimized Load-balancing in Cloud Computing based on Traffic and Workload-aware VM Migration.
Gowriprakash, R. (2021). A Combined Traffic and Workload-aware Optimized Virtual Machine Migration in Cloud Computing. Turkish Journal of Computer and Mathematics Education (TURCOMAT), 12(10), 3354-3365.
Wang, Z. (2021, February). Probabilistic Connectionless Multipath Routing Algorithm for Reliability and Stability Evaluation. In Journal of Physics: Conference Series (Vol. 1744, No. 4, p. 042183). IOP Publishing.
Neenavath, V., & Krishna, B. T. (2022). An energy efficient multipath routing protocol for manet. Journal of Engineering Research.