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A Federated Gnn-Based Solution for Privacy-Aware Internet of Things (Iot) Intrusion Detection
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Big Data and Internet of Things Security and Forensics: Challenges and Opportunities
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Semi-Supervised Classification of Graph Convolutional Networks with Laplacian Rank Constraints
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Backpropagation Computation for Training Graph Attention Networks
inferredcites →https://doi.org/10.1007/s12065-024-00949-0openalex-snapshot
Deep learning applications in the Internet of Things: a review, tools, and future directions
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Intrusion detection for the internet of things (IoT) based on the emperor penguin colony optimization algorithm
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A novel graph convolutional networks model for an intelligent network traffic analysis and classification
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Mitigating denial of service attacks in fog-based wireless sensor networks using machine learning techniques
inferredcites →https://doi.org/10.1007/s44196-025-00790-yopenalex-snapshot
Dual Feature-Based Intrusion Detection System for IoT Network Security
inferredcites →https://doi.org/10.1016/j.aiopen.2021.01.001openalex-snapshot
Graph neural networks: A review of methods and applications
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Cybersecurity awareness in the context of the Industrial Internet of Things: A systematic literature review
inferredcites →https://doi.org/10.1016/j.cose.2020.101792openalex-snapshot
AMalNet: A deep learning framework based on graph convolutional networks for malware detection
inferredcites →https://doi.org/10.1016/j.cose.2021.102494openalex-snapshot
The internet of things security: A survey encompassing unexplored areas and new insights
inferredcites →https://doi.org/10.1016/j.csa.2023.100033openalex-snapshot
Enhancing intrusion detection systems through dimensionality reduction: A comparative study of machine learning techniques for cyber security
inferredcites →https://doi.org/10.1016/j.fraope.2025.100256openalex-snapshot
Securing the internet of things: A comprehensive review of ransomware attacks, detection, countermeasures, and future prospects
inferredcites →https://doi.org/10.1016/j.future.2019.05.041openalex-snapshot
Towards the development of realistic botnet dataset in the Internet of Things for network forensic analytics: Bot-IoT dataset
inferredcites →https://doi.org/10.1016/j.future.2024.04.052openalex-snapshot
Dynamic multi-scale spatial–temporal graph convolutional network for traffic flow prediction
inferredcites →https://doi.org/10.1016/j.icte.2023.03.006openalex-snapshot
Security of Internet of Things (IoT) using federated learning and deep learning — Recent advancements, issues and prospects
inferredcites →https://doi.org/10.1016/j.ijepes.2024.110195openalex-snapshot
Decentralized optimal voltage control for wind farm with deep learning-based data-driven modeling
inferredcites →https://doi.org/10.1016/j.ins.2022.12.037openalex-snapshot
Multidimensional grid-based clustering with local differential privacy
inferredcites →https://doi.org/10.1016/j.iot.2023.100684openalex-snapshot
An Extended Evaluation on Machine Learning Techniques for Denial-of-Service Detection in Wireless Sensor Networks
inferredcites →https://doi.org/10.1016/j.neucom.2025.129556openalex-snapshot
Privacy-preserving face attribute classification via differential privacy
inferredcites →https://doi.org/10.1080/00051144.2023.2296788openalex-snapshot
A security and privacy preserving approach based on social IoT and classification using DenseNet convolutional neural network
inferredcites →https://doi.org/10.1080/23742917.2025.2501827openalex-snapshot
Design and implementation of an intelligent penetration security assessment system based on Graph Neural Network (GNN) technology
inferredcites →https://doi.org/10.1109/access.2021.3060173openalex-snapshot
Higher-Order Graph Convolutional Networks With Multi-Scale Neighborhood Pooling for Semi-Supervised Node Classification
inferredcites →https://doi.org/10.1109/access.2024.3365634openalex-snapshot
Securing the Internet of Things in Artificial Intelligence Era: A Comprehensive Survey
inferredcites →https://doi.org/10.1109/comst.2021.3075439openalex-snapshot
Federated Learning for Internet of Things: A Comprehensive Survey
inferredcites →https://doi.org/10.1109/comst.2021.3090430openalex-snapshot
Federated Learning for Internet of Things: Recent Advances, Taxonomy, and Open Challenges
inferredcites →https://doi.org/10.1109/etseciot50046.2020.00007openalex-snapshot
Security and Forensics in the Internet of Things: Research Advances and Challenges
inferredcites →https://doi.org/10.1109/iciip61524.2023.10537705openalex-snapshot
Enhancing IoT-Edge Computation with Data Forwarding based Decentralized Deep Neural Networks
inferredcites →https://doi.org/10.1109/icngis54955.2022.10079829openalex-snapshot
Internet of Things Security and Forensics: Concern and Challenges for Inspecting Cyber Attacks
inferredcites →https://doi.org/10.1109/mic.2022.3190552openalex-snapshot
Open Challenges in Federated Machine Learning
inferredcites →https://doi.org/10.1109/msp.2020.2975749openalex-snapshot
Federated Learning: Challenges, Methods, and Future Directions
inferredcites →https://doi.org/10.1109/ojcoms.2024.3506214openalex-snapshot
Federated Learning for IoT: Applications, Trends, Taxonomy, Challenges, Current Solutions, and Future Directions
inferredcites →https://doi.org/10.1109/tetc.2016.2633228openalex-snapshot
A Two-Layer Dimension Reduction and Two-Tier Classification Model for Anomaly-Based Intrusion Detection in IoT Backbone Networks
inferredcites →https://doi.org/10.1109/tnnls.2021.3084195openalex-snapshot
Adversarial Caching Training: Unsupervised Inductive Network Representation Learning on Large-Scale Graphs
inferredcites →https://doi.org/10.1145/3565973openalex-snapshot
Graph Neural Networks in IoT: A Survey
inferredcites →https://doi.org/10.1186/s42400-019-0038-7openalex-snapshot
Survey of intrusion detection systems: techniques, datasets and challenges
inferredcites →https://doi.org/10.1186/s43067-023-00081-6openalex-snapshot
Artificial intelligence-based traffic flow prediction: a comprehensive review
inferredcites →https://doi.org/10.1201/9781003283003-2openalex-snapshot
Internet of Things (IoT): Security, Cybercrimes, and Digital Forensics
inferredcites →https://doi.org/10.21203/rs.3.rs-1885747/v1openalex-snapshot
Artificial Intelligence-Based Traffic Flow Prediction: A Comprehensive Review
inferredcites →https://doi.org/10.2139/ssrn.5107040openalex-snapshot
Leveraging Machine Learning Techniques for Intrusion Detection in Military Applications
inferredcites →https://doi.org/10.3934/era.2023213openalex-snapshot
A comprehensive review of graph convolutional networks: approaches and applications
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