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Graph Convolutional Neural Networks for Attack Detection in Wireless Sensor Networks Security

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1 of the 24 references listed on this page is in the Retraction Watch database as retracted (export 2026-10-28): 10.1007/s00500-019-04573-4 (notice 2024-08-19).

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/s00500-019-04573-4openalex-extracted

RETRACTED ARTICLE: Enhancement of security using optimized DoS (denial-of-service) detection algorithm for wireless sensor network

inferredcites →https://doi.org/10.1007/s11277-021-08855-9openalex-extracted

Trust Based DoS Attack Detection in Wireless Sensor Networks for Reliable Data Transmission

inferredcites →https://doi.org/10.1016/j.aej.2023.11.022openalex-extracted

DoS attack detection using online learning techniques in wireless sensor networks

inferredcites →https://doi.org/10.1016/j.micpro.2020.103278openalex-extracted

DLDM: Deep learning-based defense mechanism for denial of service attacks in wireless sensor networks

inferredcites →https://doi.org/10.1049/ntw2.12011openalex-extracted

Lightweight models for detection of denial‐of‐service attack in wireless sensor networks

inferredcites →https://doi.org/10.1080/00207217.2017.1279230openalex-extracted

A hybrid protection approaches for denial of service (DoS) attacks in wireless sensor networks

inferredcites →https://doi.org/10.1109/access.2018.2793841openalex-extracted

Denial of Service Defence for Resource Availability in Wireless Sensor Networks

inferredcites →https://doi.org/10.1109/comst.2014.2320099openalex-extracted

Machine Learning in Wireless Sensor Networks: Algorithms, Strategies, and Applications

inferredcites →https://doi.org/10.1109/hpcc.2012.186openalex-extracted

Security Enhancement in Wireless Sensor Networks Using Machine Learning

inferredcites →https://doi.org/10.1109/iccca49541.2020.9250912openalex-extracted

Implementation and Analysis of an Improved PCA technique for DDoS Detection

inferredcites →https://doi.org/10.1109/iccci50826.2021.9402517openalex-extracted

Detection of Distributed Denial of Service Attacks in SDN using Machine learning techniques

inferredcites →https://doi.org/10.1109/icufn.2018.8436999openalex-extracted

An Effective Classification for DoS Attacks in Wireless Sensor Networks

inferredcites →https://doi.org/10.1109/isiea.2009.5356382openalex-extracted

Application of artificial neural network in detection of probing attacks

inferredcites →https://doi.org/10.1109/jeeit.2019.8717400openalex-extracted

Using Machine Learning to Detect DoS Attacks in Wireless Sensor Networks

inferredcites →https://doi.org/10.1109/lcn.2014.6925784openalex-extracted

Measuring the impact of denial-of-service attacks on wireless sensor networks

inferredcites →https://doi.org/10.1109/mc.2002.1039518openalex-extracted

Denial of service in sensor networks

inferredcites →https://doi.org/10.1109/smartnets48225.2019.9069788openalex-extracted

Evaluation of Deep Learning in Detecting Unknown Network Attacks

inferredcites →https://doi.org/10.1155/2023/2744706openalex-extracted

Localization and Detection of Multiple Attacks in Wireless Sensor Networks Using Artificial Neural Network

inferredcites →https://doi.org/10.1186/s40537-023-00692-wopenalex-extracted

Performance evaluation of deep learning techniques for DoS attacks detection in wireless sensor network

inferredcites →https://doi.org/10.14445/22315381/ijett-v70i5p209openalex-extracted

Improvement of Wireless Sensor Networks Against Service Attacks Based on Machine Learning

inferredcites →https://doi.org/10.32604/cmc.2022.020044openalex-extracted

Machine Learning Approaches to Detect DoS and Their Effect on WSNs Lifetime

inferredcites →https://doi.org/10.3389/fphy.2020.00203openalex-extracted

Classification of Cancer Types Using Graph Convolutional Neural Networks

inferredcites →https://doi.org/10.3390/electronics9060916openalex-extracted

CNN-Based Network Intrusion Detection against Denial-of-Service Attacks

inferredcites →https://doi.org/10.6688/jise.201807_34(4).0011openalex-extracted

Efficient Denial of Service Attacks Detection in Wireless Sensor Networks

What points at this work

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inferred← citeshttps://doi.org/10.1109/gcat66372.2025.11368448openalex-snapshot

A Hybrid CNN-LSTM Framework for Real-Time Human Intrusion Detection in Wireless Sensor Networks

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