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Modified hunter prey optimization to enable secure communication for UAV

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Abstract

Unmanned aerial vehicles (UAVs) are rapidly developing communication networks with a wide range of uses. Due to its changing topology, the network communication raises security concerns. This work presents a novel routing and secure communication approach for UAV networks. In this process, the UAV is initially simulated, and the data transmission paths between the nodes are determined. Therefore, an optimal routing technique known as modified hunter prey optimization is developed for secure routing. Furthermore, the routing is established based on a multi-objective function such as distance, delay, and trust. Moreover, the data communication is carried out with the support of an evaluation and monitoring agent. Additionally, malicious identification is performed utilizing the deep maxout network, which considers signal strength, round trip time, packet size, packet delivery, and the number of incoming packets as input attributes. If any attack is detected, it is mitigated by a defensive agent. Moreover, metrics like packet delivery rate, delay, energy, and detection rate are employed to evaluate the performance of the model, in which the corresponding values 0.558 J, 0.775, 0.946 and 0.739 are achieved.

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Authors and Affiliations

  1. Department of Computational Intelligence, College of Engineering and Technology, SRM Institute of Science and Technology, Kattankulathur, Chengalpattu, 603403, Tamilnadu, India

    R. Yuvaraj & Velliangiri Sarveshwaran

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  1. R. Yuvaraj
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  2. Velliangiri Sarveshwaran
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Correspondence to Velliangiri Sarveshwaran.

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Yuvaraj, R., Sarveshwaran, V. Modified hunter prey optimization to enable secure communication for UAV. Int. j. inf. tecnol. 16, 1569–1579 (2024). https://doi.org/10.1007/s41870-023-01690-0

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