Identifying malicious nodes in wireless sensor networks based on correlation detection-Reference-Cited by-同舟云学术

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Identifying malicious nodes in wireless sensor networks based on correlation detection

Published:2022-02 Issue: Volume:113 Page:102540
ISSN:0167-4048
Container-title:Computers & Security
language:en
Short-container-title:Computers & Security

Author:

Lai Yingxu^ORCID,Tong Liyao^ORCID,Liu Jing^ORCID,Wang Yipeng,Tang Tong,Zhao Zijian,Qin Hua

Publisher

Elsevier BV

Subject

Law,General Computer Science

Reference23 articles.

1. Collusion attack detection in networked systems;Bhuiyan,2016

2. Distributed joint sensor registration and multitarget tracking via sensor network;Gao;Inf. Fusion,2019

3. Lightweight reputation-based approach against simple and cooperative black-hole attacks for MANET;Hammamouche;Inf. Secur. Techn. Rep.,2018

4. Secure distributed estimation against false data injection attack;Hua;Inf. Sci.,2020

5. An efficient weighted trust method for malicious node detection in clustered wireless sensor networks;Jaint,2018

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2. Performance Evaluation of Predicting IoT Malicious Nodes Using Machine Learning Classification Algorithms;International Journal of Computational and Experimental Science and Engineering;2024-08-06

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4. Cyber intrusion detection using dual interactive Wasserstein generative adversarial network with war strategy optimization in wireless sensor networks;Multimedia Tools and Applications;2024-07-13

5. An effective metaheuristic based optimized type‐II fuzzy inference system for fault node identification in wireless sensor network;International Journal of Communication Systems;2024-07-04

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