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SACNN‐IDS: A self‐attention convolutional neural network for intrusion detection in industrial internet of things

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1 of the 47 references listed on this page is in the Retraction Watch database as retracted (export 2026-11-11): 10.1155/2022/5448647 (notice 2024-01-09).

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What this work says

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

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MLP4NIDS: An Efficient MLP-Based Network Intrusion Detection for CICIDS2017 Dataset

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Enhancing IIoT networks protection: A robust security model for attack detection in Internet Industrial Control Systems

inferredcites →https://doi.org/10.1016/j.comnet.2020.107315openalex-snapshot

An effective convolutional neural network based on SMOTE and Gaussian mixture model for intrusion detection in imbalanced dataset

inferredcites →https://doi.org/10.1016/j.comnet.2023.109982openalex-snapshot

Res-TranBiLSTM: An intelligent approach for intrusion detection in the Internet of Things

inferredcites →https://doi.org/10.1016/j.cose.2018.01.023openalex-snapshot

A novel architecture combined with optimal parameters for back propagation neural networks applied to anomaly network intrusion detection

inferredcites →https://doi.org/10.1016/j.cose.2023.103167openalex-snapshot

Network anomaly detection methods in IoT environments via deep learning: A Fair comparison of performance and robustness

inferredcites →https://doi.org/10.1016/j.dcan.2022.08.012openalex-snapshot

Feature extraction for machine learning-based intrusion detection in IoT networks

inferredcites →https://doi.org/10.1016/j.future.2021.09.040openalex-snapshot

GRU-based deep learning approach for network intrusion alert prediction

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The Internet of Things (IoT) in healthcare: Taking stock and moving forward

inferredcites →https://doi.org/10.1016/j.iot.2023.100780openalex-snapshot

Internet of Things (IoT) security dataset evolution: Challenges and future directions

inferredcites →https://doi.org/10.1016/j.jestch.2022.101322openalex-snapshot

A hybrid CNN+LSTM-based intrusion detection system for industrial IoT networks

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Research on online fault detection tool of substation equipment based on artificial intelligence

inferredcites →https://doi.org/10.1016/j.knosys.2019.105124openalex-snapshot

Deep learning approaches for anomaly-based intrusion detection systems: A survey, taxonomy, and open issues

inferredcites →https://doi.org/10.1016/j.measurement.2019.107450openalex-snapshot

Robust detection for network intrusion of industrial IoT based on multi-CNN fusion

inferredcites →https://doi.org/10.1049/cit2.12003openalex-snapshot

SDN‐based intrusion detection system for IoT using deep learning classifier (IDSIoT‐SDL)

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Scope of machine learning applications for addressing the challenges in next‐generation wireless networks

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Robust graph‐based localization for industrial Internet of things in the presence of flipping ambiguities

inferredcites →https://doi.org/10.1089/big.2020.0263openalex-snapshot

A Convolutional Neural Network for Improved Anomaly-Based Network Intrusion Detection

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Deep Learning Approach for Intelligent Intrusion Detection System

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An Advanced Intrusion Detection System for IIoT Based on GA and Tree Based Algorithms

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A Deep-Learned Embedding Technique for Categorical Features Encoding

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Edge-IIoTset: A New Comprehensive Realistic Cyber Security Dataset of IoT and IIoT Applications for Centralized and Federated Learning

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Network Anomaly Detection with Stochastically Improved Autoencoder Based Models

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Proceedings of IEEE Conference on Computer Vision and Pattern Recognition

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Deep Residual Learning for Image Recognition

inferredcites →https://doi.org/10.1109/globecom42002.2020openalex-snapshot

GLOBECOM 2020 - 2020 IEEE Global Communications Conference

inferredcites →https://doi.org/10.1109/globecom42002.2020.9348167openalex-snapshot

A Hierarchical Hybrid Intrusion Detection Approach in IoT Scenarios

inferredcites →https://doi.org/10.1109/jiot.2021.3102056openalex-snapshot

X-IIoTID: A Connectivity-Agnostic and Device-Agnostic Intrusion Data Set for Industrial Internet of Things

inferredcites →https://doi.org/10.1109/jiot.2022.3150386openalex-snapshot

Joint Online Optimization of Data Sampling Rate and Preprocessing Mode for Edge–Cloud Collaboration-Enabled Industrial IoT

inferredcites →https://doi.org/10.1109/jiot.2022.3188224openalex-snapshot

Industrial IoT Intrusion Detection via Evolutionary Cost-Sensitive Learning and Fog Computing

inferredcites →https://doi.org/10.1109/tii.2020.2970074openalex-snapshot

Increasing the Trustworthiness in the Industrial IoT Networks Through a Reliable Cyberattack Detection Model

inferredcites →https://doi.org/10.1109/tii.2020.3025755openalex-snapshot

Deep-IFS: Intrusion Detection Approach for Industrial Internet of Things Traffic in Fog Environment

inferredcites →https://doi.org/10.1109/tii.2021.3116085openalex-snapshot

Variational Few-Shot Learning for Microservice-Oriented Intrusion Detection in Distributed Industrial IoT

inferredcites →https://doi.org/10.1109/tii.2022.3164732openalex-snapshot

A Hybrid Optimization-Based Medical Data Hiding Scheme for Industrial Internet of Things Security

inferredcites →https://doi.org/10.1109/tkde.2018.2873325openalex-snapshot

Declarative Parameterizations of User-Defined Functions for Large-Scale Machine Learning and Optimization

inferredcites →https://doi.org/10.1109/tnse.2022.3180632openalex-snapshot

Computational Intelligence and Deep Learning for Next-Generation Edge-Enabled Industrial IoT

inferredcites →https://doi.org/10.1109/tnse.2022.3184975openalex-snapshot

Intrusion Detection of Industrial Internet-of-Things Based on Reconstructed Graph Neural Networks

inferredcites →https://doi.org/10.1109/tr.2022.3164877openalex-snapshot

Intrusion Detection System After Data Augmentation Schemes Based on the VAE and CVAE

inferredcites →https://doi.org/10.1111/exsy.12569openalex-snapshot

Entropy‐controlled deep features selection framework for grape leaf diseases recognition

inferredcites →https://doi.org/10.1155/2022/5448647openalex-snapshot

Intelligent Intrusion Detection Method of Industrial Internet of Things Based on CNN-BiLSTM

inferredcites →https://doi.org/10.14722/ndss.2018.23191openalex-snapshot

Investigating Ad Transparency Mechanisms in Social Media: A Case Study of Facebook's Explanations

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inferredcites →https://doi.org/10.3390/s21020656openalex-snapshot

An IoT-Focused Intrusion Detection System Approach Based on Preprocessing Characterization for Cybersecurity Datasets

inferredcites →https://doi.org/10.3390/s23187856openalex-snapshot

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inferredcites →https://doi.org/10.3390/su14148707openalex-snapshot

XGBoost for Imbalanced Multiclass Classification-Based Industrial Internet of Things Intrusion Detection Systems

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inferred← citeshttps://doi.org/10.1007/978-3-031-91235-1_36openalex-snapshot

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inferred← citeshttps://doi.org/10.1007/978-3-032-03695-7_2openalex-snapshot

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Graph Transformer with Explainable AI for Improved Cybersecurity by Detecting and Mitigating IoT Cyber Threats

inferred← citeshttps://doi.org/10.1007/s10586-026-06065-1openalex-snapshot

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inferred← citeshttps://doi.org/10.1007/s11227-026-08844-4openalex-snapshot

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inferred← citeshttps://doi.org/10.1007/s43926-025-00184-8openalex-snapshot

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inferred← citeshttps://doi.org/10.1016/j.compeleceng.2024.109863openalex-snapshot

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Industrial Internet of Things intrusion detection based on a hybrid model of Pearson-Deep Neural Network And Transformer

inferred← citeshttps://doi.org/10.1038/s41598-026-54748-xopenalex-snapshot

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MU-IoT: A New IoT Intrusion Dataset for Network and Application Layer Attacks Analysis

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inferred← citeshttps://doi.org/10.1109/ic2sda68097.2025.11331431openalex-snapshot

Hybrid ResNet-1D-BiGRU with Multi-Head Attention for Cyberattack Detection in Industrial IoT Environments

inferred← citeshttps://doi.org/10.1109/icaic67076.2026.11395742openalex-snapshot

Causal-Contrastive Graph Neural Networks for Robust, Explainable Multi-Modal Intrusion Detection

inferred← citeshttps://doi.org/10.1109/iccr67387.2025.11292009openalex-snapshot

Towards Transparent Intrusion Detection: The Role of Explainable AI

inferred← citeshttps://doi.org/10.1109/icoei65986.2025.11013696openalex-snapshot

Robust Paradigm for Industrial IoT Networks: A Deep Learning-Driven Security Framework for Threat Detection and Mitigation

inferred← citeshttps://doi.org/10.1109/tii.2025.3621208openalex-snapshot

Adaptive Multi-Scale Window Segmentation and Attention Interaction Transformer for Intrusion Detection in Industrial Internet of Things

inferred← citeshttps://doi.org/10.1142/s1469026825500130openalex-snapshot

EAROA-MiXNet: An Efficient Deep Learning-Based Intrusion Detection System for Edge-Based IIoT Environment

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Advanced IoT intrusion detection using hybrid attention-based deep learning with DenseNet-ViT and AlexNet-BERT

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AD-FIT: industrial anomaly detection via fusion of IoT sensing and network traffic data

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Missed-attack-risk-oriented compact KAN architecture for industrial IoT intrusion detection

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