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<p>The proliferation of drone use adds to the challenges of securing Flying Ad Hoc Networks (FANETs), which operate in a decentralized manner, clustering together under the influence of the network with nodes free to enter or exit. These are prone to instability, especially when bad nodes forge legitimate ids. This paper presents a strategy for the detection and isolation of such bad nodes with improved detection efficiency compared with existing approaches. Malicious nodes compromise a network by creating and injecting false data. Therefore, these nodes are tracked and then isolated in the FANET using the Secure AODV algorithm. Flying nodes are under serious threat, so a trust model based on both direct and indirect reputations is applied to discourage malicious behaviors. The malicious nodes are then disconnected from the network, such that they are unable to relay any messages. Security performance was also measured for FANETS in terms of throughput, packet loss, and routing overhead, comparing the performance of TAODV against that of traditional AODV algorithms.</p>

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A secure AODV algorithm based malicious nodes detection in flying ad-hoc networks

  • 期刊论文

  • 发表日期：

    2026年4月9日

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  • D. Hemanand,
  • W. T. Chembian,
  • N. Sankar Ram,
  • D. S. Jayalakshmi

摘要

The proliferation of drone use adds to the challenges of securing Flying Ad Hoc Networks (FANETs), which operate in a decentralized manner, clustering together under the influence of the network with nodes free to enter or exit. These are prone to instability, especially when bad nodes forge legitimate ids. This paper presents a strategy for the detection and isolation of such bad nodes with improved detection efficiency compared with existing approaches. Malicious nodes compromise a network by creating and injecting false data. Therefore, these nodes are tracked and then isolated in the FANET using the Secure AODV algorithm. Flying nodes are under serious threat, so a trust model based on both direct and indirect reputations is applied to discourage malicious behaviors. The malicious nodes are then disconnected from the network, such that they are unable to relay any messages. Security performance was also measured for FANETS in terms of throughput, packet loss, and routing overhead, comparing the performance of TAODV against that of traditional AODV algorithms.