Metric-Oriented Comparison of Selective Forwarding Attack Detection Techniques in IoT-Based Systems
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-1203-2_14
Reference21 articles.
1. Airehrour D, Gutierrez J, Ray S (2017) A trust-aware rpl routing protocol to detect blackhole and selective forwarding attacks. Aust J Telecommun Digit Econ 5. https://doi.org/10.18080/ajtde.v5n1.2
2. C̆olaković A, Hadz̆ialić M (2018) Internet of things (iot): a review of enabling technologies, challenges, and open research issues. Comput Netw 144:17–39. https://doi.org/10.1016/j.comnet.2018.07.017
3. Ding J, Wang H, Wu Y (2022) The detection scheme against selective forwarding of smart malicious nodes with reinforcement learning in wireless sensor networks. IEEE Sens J 22(13):13696–13706. https://doi.org/10.1109/JSEN.2022.3176462
4. Huang X, Wu Y (2022) Identify selective forwarding attacks using danger model: promote the detection accuracy in wireless sensor networks. IEEE Sens J 22(10):9997–10008. https://doi.org/10.1109/JSEN.2022.3166601
5. Jeevanantham S, Rebekka B (2022) Hierarchical stable election protocol for WSN-based IoT inhabitant and environmental monitoring applications. Int J Commun Syst, p e5301. https://doi.org/10.1002/dac.5301
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