A robust and machine learning-driven identification scheme for malicious nodes in UASNs-Reference-Cited by-同舟云学术

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A robust and machine learning-driven identification scheme for malicious nodes in UASNs

Published:2024-03 Issue: Volume:217 Page:1-11
ISSN:0140-3664
Container-title:Computer Communications
language:en
Short-container-title:Computer Communications

Author:

Huang Xiangdang,Chen Chao^ORCID,Chen Nuo,Li Pengcheng,Zhu Rongxin,Yang Qiuling

Publisher

Elsevier BV

Reference34 articles.

1. Dekcs: A dynamic clustering protocol to prolong underwater sensor networks;Omeke;IEEE Sens. J.,2021

2. Reinforcement learning-based opportunistic routing protocol for underwater acoustic sensor networks;Zhang;IEEE Trans. Veh. Technol.,2021

3. A high-availability data collection scheme based on multi-auvs for underwater sensor networks;Han;IEEE Trans. Mob. Comput.,2019

4. A secure and efficient trust model for wireless sensor iots using blockchain;Javaid;IEEE Access,2022

5. A trust management system for securing data plane of Ad-Hoc networks;Tan;IEEE Trans. Veh. Technol.,2015

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