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Learning-Based Methods for Cyber Attacks Detection in IoT Systems: A Survey on Methods, Analysis, and Future Prospects
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/ett.3803openalex-snapshot
DL‐IDS: a deep learning–based intrusion detection framework for securing IoT
inferredcites →https://doi.org/10.1002/ett.4121openalex-snapshot
Deep neural network based anomaly detection in Internet of Things network traffic tracking for the applications of future smart cities
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The History, Present and Future with IoT
inferredcites →https://doi.org/10.1007/978-3-319-92058-0_56openalex-snapshot
Towards Machine Learning Based IoT Intrusion Detection Service
inferredcites →https://doi.org/10.1007/s10776-019-00462-7openalex-snapshot
A Network Attack Detection Method Using SDA and Deep Neural Network Based on Internet of Things
inferredcites →https://doi.org/10.1007/s11277-011-0288-5openalex-snapshot
Internet of Things: Applications and Challenges in Technology and Standardization
inferredcites →https://doi.org/10.1007/s12652-019-01387-yopenalex-snapshot
Unsupervised intelligent system based on one class support vector machine and Grey Wolf optimization for IoT botnet detection
inferredcites →https://doi.org/10.1016/b978-0-12-818364-9.00035-4openalex-snapshot
Internet of Things
inferredcites →https://doi.org/10.1016/j.comcom.2020.01.016openalex-snapshot
Deep learning and big data technologies for IoT security
inferredcites →https://doi.org/10.1016/j.comnet.2020.107784openalex-snapshot
Towards a deep learning-driven intrusion detection approach for Internet of Things
inferredcites →https://doi.org/10.1016/j.dcan.2017.09.009openalex-snapshot
Semi-supervised multi-layered clustering model for intrusion detection
inferredcites →https://doi.org/10.1016/j.engappai.2019.05.011openalex-snapshot
IRESE: An intelligent rare-event detection system using unsupervised learning on the IoT edge
inferredcites →https://doi.org/10.1016/j.future.2017.08.043openalex-snapshot
Distributed attack detection scheme using deep learning approach for Internet of Things
inferredcites →https://doi.org/10.1016/j.future.2018.03.007openalex-snapshot
A deep Recurrent Neural Network based approach for Internet of Things malware threat hunting
inferredcites →https://doi.org/10.1016/j.future.2020.07.020openalex-snapshot
Anomaly detection framework for Internet of things traffic using vector convolutional deep learning approach in fog environment
inferredcites →https://doi.org/10.1016/j.ins.2016.04.019openalex-snapshot
Fuzziness based semi-supervised learning approach for intrusion detection system
inferredcites →https://doi.org/10.1016/j.iot.2019.100122openalex-snapshot
Cost-sensitive stacked auto-encoders for intrusion detection in the Internet of Things
inferredcites →https://doi.org/10.1016/j.iot.2020.100227openalex-snapshot
Survey on IoT security: Challenges and solution using machine learning, artificial intelligence and blockchain technology
inferredcites →https://doi.org/10.1016/j.jisa.2018.05.002openalex-snapshot
Identification of malicious activities in industrial internet of things based on deep learning models
inferredcites →https://doi.org/10.1016/j.jnca.2020.102630openalex-snapshot
Machine learning based solutions for security of Internet of Things (IoT): A survey
inferredcites →https://doi.org/10.1016/j.jnca.2020.102631openalex-snapshot
Enhancing collaborative intrusion detection via disagreement-based semi-supervised learning in IoT environments
inferredcites →https://doi.org/10.1016/j.jnca.2020.102662openalex-snapshot
Detecting Internet of Things attacks using distributed deep learning
inferredcites →https://doi.org/10.1080/23742917.2019.1623475openalex-snapshot
Ensemble-based semi-supervised learning approach for a distributed intrusion detection system
inferredcites →https://doi.org/10.1088/1755-1315/322/1/012001openalex-snapshot
An Energy Management System for Hybrid Energy Sources-based Stand-alone Marine Microgrid
inferredcites →https://doi.org/10.1109/access.2019.2929919openalex-snapshot
Design of Intrusion Detection System for Internet of Things Based on Improved BP Neural Network
inferredcites →https://doi.org/10.1109/access.2019.2933859openalex-snapshot
Ontology-Based Security Context Reasoning for Power IoT-Cloud Security Service
inferredcites →https://doi.org/10.1109/access.2019.2937347openalex-snapshot
Cyber Security Threats Detection in Internet of Things Using Deep Learning Approach
inferredcites →https://doi.org/10.1109/atnac.2018.8615294openalex-snapshot
A Deep Learning Approach for Intrusion Detection in Internet of Things using Bi-Directional Long Short-Term Memory Recurrent Neural Network
inferredcites →https://doi.org/10.1109/ccdc.2019.8832753openalex-snapshot
A Novel Intrusion Detection Method for Internet of Things
inferredcites →https://doi.org/10.1109/comst.2019.2896380openalex-snapshot
Network Intrusion Detection for IoT Security Based on Learning Techniques
inferredcites →https://doi.org/10.1109/comst.2020.2988293openalex-snapshot
A Survey of Machine and Deep Learning Methods for Internet of Things (IoT) Security
inferredcites →https://doi.org/10.1109/dcoss.2019.00118openalex-snapshot
Classifying Security Attacks in IoT Networks Using Supervised Learning
inferredcites →https://doi.org/10.1109/dcoss49796.2020.00073openalex-snapshot
Experimentation with Local Intrusion Detection in IoT Networks Using Supervised Learning
inferredcites →https://doi.org/10.1109/icccnt49239.2020.9225340openalex-snapshot
Supervised Machine Learning Based Network Intrusion Detection System for Internet of Things
inferredcites →https://doi.org/10.1109/icic53490.2021.9692955openalex-snapshot
Voice Over Internet Protocol: Vulnerabilities and Assessments
inferredcites →https://doi.org/10.1109/icic53490.2021.9693072openalex-snapshot
Comprehensive Review of Malware Detection Techniques
inferredcites →https://doi.org/10.1109/icievicivpr48672.2020.9306666openalex-snapshot
Attack Detection in Internet of Things using Software Defined Network and Fuzzy Neural Network
inferredcites →https://doi.org/10.1109/icmla.2018.00171openalex-snapshot
Unsupervised Anomaly Based Botnet Detection in IoT Networks
inferredcites →https://doi.org/10.1109/icsmc.2008.4811688openalex-snapshot
Semi-supervised learning methods for network intrusion detection
inferredcites →https://doi.org/10.1109/ijcnn.2018.8489489openalex-snapshot
Botnet Detection in the Internet of Things using Deep Learning Approaches
inferredcites →https://doi.org/10.1109/infocom41043.2020.9155424openalex-snapshot
IoTArgos: A Multi-Layer Security Monitoring System for Internet-of-Things in Smart Homes
inferredcites →https://doi.org/10.1109/ipccc47392.2019.8958755openalex-snapshot
HS-TCN: A Semi-supervised Hierarchical Stacking Temporal Convolutional Network for Anomaly Detection in IoT
inferredcites →https://doi.org/10.1109/ipccc50635.2020.9391558openalex-snapshot
Deep Learning for IoT
inferredcites →https://doi.org/10.1109/isncc.2016.7746067openalex-snapshot
Threat analysis of IoT networks using artificial neural network intrusion detection system
inferredcites →https://doi.org/10.1109/istel.2016.7881893openalex-snapshot
A hybrid intrusion detection architecture for Internet of things
inferredcites →https://doi.org/10.1109/ithings-greencom-cpscom-smartdata-cybermatics50389.2020.00058openalex-snapshot
A semi-supervised dynamic ensemble algorithm for IoT anomaly detection
inferredcites →https://doi.org/10.1109/jiot.2016.2547994openalex-snapshot
Deceptive Attack and Defense Game in Honeypot-Enabled Networks for the Internet of Things
inferredcites →https://doi.org/10.1109/jiot.2019.2899492openalex-snapshot
Enhanced Cyber-Physical Security in Internet of Things Through Energy Auditing
inferredcites →https://doi.org/10.1109/jiot.2020.2993410openalex-snapshot
Semisupervised-Learning-Based Security to Detect and Mitigate Intrusions in IoT Network
inferredcites →https://doi.org/10.1109/jiot.2020.2996425openalex-snapshot
An Ensemble of Deep Recurrent Neural Networks for Detecting IoT Cyber Attacks Using Network Traffic
inferredcites →https://doi.org/10.1109/jiot.2020.3002255openalex-snapshot
CorrAUC: A Malicious Bot-IoT Traffic Detection Method in IoT Network Using Machine-Learning Techniques
inferredcites →https://doi.org/10.1109/jsyst.2019.2941759openalex-snapshot
Cyber-Attacks in a Looped Energy-Water Nexus: An Inoculated Sub-Observer-Based Approach
inferredcites →https://doi.org/10.1109/msp.2018.2825478openalex-snapshot
IoT Security Techniques Based on Machine Learning: How Do IoT Devices Use AI to Enhance Security?
inferredcites →https://doi.org/10.1109/spw.2018.00013openalex-snapshot
Machine Learning DDoS Detection for Consumer Internet of Things Devices
inferredcites →https://doi.org/10.1109/tdsc.2019.2899300openalex-snapshot
Revocable Identity-Based Broadcast Proxy Re-Encryption for Data Sharing in Clouds
inferredcites →https://doi.org/10.1109/tdsc.2020.2963978openalex-snapshot
Secure Keyword Search and Data Sharing Mechanism for Cloud Computing
inferredcites →https://doi.org/10.1109/tdsc.2021.3065999openalex-snapshot
Revocable Attribute-Based Encryption With Data Integrity in Clouds
inferredcites →https://doi.org/10.1109/tsg.2015.2487280openalex-snapshot
Immunity Toward Data-Injection Attacks Using Multisensor Track Fusion-Based Model Prediction
inferredcites →https://doi.org/10.1109/tsg.2016.2544854openalex-snapshot
A Bayesian Algorithm to Enhance the Resilience of WAMS Applications Against Cyber Attacks
inferredcites →https://doi.org/10.1145/3214305openalex-snapshot
Deception Techniques in Computer Security
inferredcites →https://doi.org/10.1145/3361758.3361762openalex-snapshot
An Efficient Intrusion Detection Model for Edge System in Brownfield Industrial Internet of Things
inferredcites →https://doi.org/10.1155/2017/1750637openalex-snapshot
An Automata Based Intrusion Detection Method for Internet of Things
inferredcites →https://doi.org/10.1155/2020/6656066openalex-snapshot
An Unsupervised Learning-Based Network Threat Situation Assessment Model for Internet of Things
inferredcites →https://doi.org/10.11591/ijai.v10.i1.pp110-120openalex-snapshot
Toward a deep learning-based intrusion detection system for IoT against botnet attacks
inferredcites →https://doi.org/10.23919/eecsi50503.2020.9251304openalex-snapshot
IoT Botnet Malware Classification Using Weka Tool and Scikit-learn Machine Learning
inferredcites →https://doi.org/10.3390/app12041927openalex-snapshot
Data Protection and Privacy of the Internet of Healthcare Things (IoHTs)
inferredcites →https://doi.org/10.3390/electronics10212725openalex-snapshot
Overview of Signal Processing and Machine Learning for Smart Grid Condition Monitoring
inferredcites →https://doi.org/10.3390/electronics9030444openalex-snapshot
Towards Near-Real-Time Intrusion Detection for IoT Devices using Supervised Learning and Apache Spark
inferredcites →https://doi.org/10.3390/info10040122openalex-snapshot
A Survey of Deep Learning Methods for Cyber Security
inferredcites →https://doi.org/10.3390/s19091977openalex-snapshot
Towards Deep-Learning-Driven Intrusion Detection for the Internet of Things
inferredcites →https://doi.org/10.3390/s20236711openalex-snapshot
Internet of Medical Things: An Effective and Fully Automatic IoT Approach Using Deep Learning and Fine-Tuning to Lung CT Segmentation
inferredcites →https://doi.org/10.3390/s21041034openalex-snapshot
Study of Machine Learning for Cloud Assisted IoT Security as a Service
inferredcites →https://doi.org/10.3390/s21196415openalex-snapshot
Denial-of-Service Attack on IEC 61850-Based Substation Automation System: A Crucial Cyber Threat towards Smart Substation Pathways
inferredcites →https://doi.org/10.36548/jismac.2020.4.002openalex-snapshot
Hybrid Intrusion Detection System for Internet of Things (IoT)
inferredcites →https://doi.org/10.4316/aece.2017.03012openalex-snapshot
Novel TPPO Based Maximum Power Point Method for Photovoltaic System
inferredcites →https://doi.org/10.56801/rebicte.v3i.54openalex-snapshot
Attack Classification Analysis of IoT Network via Deep Learning Approach
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Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Machine Learning-Based Cyberattacks Detection Enhancement in Iot Environments with Imbalanced Data Handling
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Quantum Security for the Tactile Internet
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Machine Learning Approaches for Intrusion Detection in IoT: Literature Review
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Testing Practices, Challenges, and Developer Perspectives in Open-Source IoT Platforms
inferred← citeshttps://doi.org/10.1109/iitcee59897.2024.10467569openalex-snapshot
Intrusion Detection System to detect impersonation attacks in IoT networks
inferred← citeshttps://doi.org/10.1109/incet61516.2024.10593100openalex-snapshot
Detecting Cyber Threats in Real-Time: A Supervised Learning Perspective on the CTU-13 Dataset
inferred← citeshttps://doi.org/10.1109/inocon57975.2023.10101334openalex-snapshot
Privacy and Security Control Approach for DDoS Attacks in Cyber Physical Systems using Deep Learning
inferred← citeshttps://doi.org/10.1109/iotm.001.2400045openalex-snapshot
Resource Optimization in UAV-Assisted IoT Networks: The Role of Generative AI
inferred← citeshttps://doi.org/10.1109/nigercon62786.2024.10927233openalex-snapshot
X-CID: Exhaustive Ensemble Technique for Cyber Invasion Detection in Drone Transportation Network
inferred← citeshttps://doi.org/10.1109/sami63904.2025.10883062openalex-snapshot
Feature Selection Methods for Intrusion Detection Systems in IoT
inferred← citeshttps://doi.org/10.1109/tai.2024.3354688openalex-snapshot
A Deep Learning-Based Cyber Intrusion Detection and Mitigation System for Smart Grids
inferred← citeshttps://doi.org/10.1109/tce.2024.3367330openalex-snapshot
A Novel Split Learning-Based Consumer Electronics Network Traffic Anomaly Detection Framework for Smart City Environment
inferred← citeshttps://doi.org/10.1109/tcsii.2023.3245664openalex-snapshot
Operational Issues on Adaptive Protection of Microgrids Due to Cyber Attacks
inferred← citeshttps://doi.org/10.1109/tcsii.2024.3396734openalex-snapshot
Watermarking-Based Defense Mechanism in LFC of Electricity Grids Compromised by Covert Attacks
inferred← citeshttps://doi.org/10.1109/tdsc.2022.3213012openalex-snapshot
On Credibility of Adversarial Examples Against Learning-Based Grid Voltage Stability Assessment
inferred← citeshttps://doi.org/10.1109/tdsc.2022.3223288openalex-snapshot
Noise Resilient Learning for Attack Detection in Smart Grid PMU Infrastructure
inferred← citeshttps://doi.org/10.1109/tdsc.2023.3276062openalex-snapshot
Delays Have Dangerous Ends: Slow HTTP/2 DoS Attacks Into the Wild and Their Real-Time Detection Using Event Sequence Analysis
inferred← citeshttps://doi.org/10.1109/tdsc.2023.3299522openalex-snapshot
False Data Detector for Electrical Vehicles Temporal-Spatial Charging Coordination Secure Against Evasion and Privacy Adversarial Attacks
inferred← citeshttps://doi.org/10.1109/tdsc.2023.3318606openalex-snapshot
FortisEDoS: A Deep Transfer Learning-Empowered Economical Denial of Sustainability Detection Framework for Cloud-Native Network Slicing
inferred← citeshttps://doi.org/10.1109/tpwrs.2025.3560084openalex-snapshot
Two-Stage Direct and Bi-Level Indirect Coordinated Cyber-Physical Attacks Integrating Substation Outage
inferred← citeshttps://doi.org/10.1109/tsg.2022.3223279openalex-snapshot
A Data Mining/ANFIS and Adaptive Control for Detection and Mitigation of Attacks on DC MGs
inferred← citeshttps://doi.org/10.1109/tsg.2022.3225328openalex-snapshot
A Fast Protection Relay for MMC-Based DC Grids Robust to Cyber-Physical Anomalies
inferred← citeshttps://doi.org/10.1109/tsg.2023.3237011openalex-snapshot
Attack Graph Model for Cyber-Physical Power Systems Using Hybrid Deep Learning
inferred← citeshttps://doi.org/10.1109/tsg.2023.3256480openalex-snapshot
A Deep Learning-Based Attack Detection Mechanism Against Potential Cascading Failure Induced by Load Redistribution Attacks
inferred← citeshttps://doi.org/10.1109/tsg.2023.3272749openalex-snapshot
Early Attack Detection for Securing GOOSE Network Traffic
inferred← citeshttps://doi.org/10.1109/tsg.2023.3304537openalex-snapshot
Online Recursive Detection and Adaptive Fuzzy Mitigation of Cyber-Physical Attacks Targeting Topology of IMG: An LFC Case Study
inferred← citeshttps://doi.org/10.1109/tsg.2024.3389948openalex-snapshot
Locational Detection of False Data Injection Attacks in the Edge Space via Hodge Graph Neural Network for Smart Grids
inferred← citeshttps://doi.org/10.1109/tsg.2024.3524455openalex-snapshot
A Probabilistic-Based Approach for Detecting Simultaneous Load Redistribution Attacks Through Entropy Analysis and Deep Learning
inferred← citeshttps://doi.org/10.1109/tsg.2025.3579893openalex-snapshot
Learning-Based Detection of Intraday False Data Injection Attacks on DER Dispatch Signals
inferred← citeshttps://doi.org/10.1109/tsg.2025.3580683openalex-snapshot
Locational Detection of False Data Injection Attacks in Smart Grids: A Cloud–Edge Framework Based on Split Learning
inferred← citeshttps://doi.org/10.1109/upcon59197.2023.10434690openalex-snapshot
NSL-KDD: Cyberattack Detection in IoT Utilizing Machine Learning Approaches
inferred← citeshttps://doi.org/10.1111/exsy.13263openalex-snapshot
A novel intelligent approach for man‐in‐the‐middle attacks detection over internet of things environments based on message queuing telemetry transport
inferred← citeshttps://doi.org/10.1145/3603713openalex-snapshot
Joint IoT/ML Platforms for Smart Societies and Environments: A Review on Multimodal Information-Based Learning for Safety and Security
inferred← citeshttps://doi.org/10.1145/3604434openalex-snapshot
Towards Attack Detection in Multimodal Cyber-Physical Systems with Sticky HDP-HMM based Time Series Analysis
inferred← citeshttps://doi.org/10.1145/3625078.3625089openalex-snapshot
Internet of Things and Industrial Business Models: Knowledge Boundaries and Practical Implications
inferred← citeshttps://doi.org/10.1145/3744338openalex-snapshot
Smart Water-IoT: Harnessing IoT and AI for Efficient Water Management
inferred← citeshttps://doi.org/10.1155/2022/2037954openalex-snapshot
Detection of Middlebox-Based Attacks in Healthcare Internet of Things Using Multiple Machine Learning Models
inferred← citeshttps://doi.org/10.1155/2022/7689828openalex-snapshot
Cyber Loss Distribution Fitting: A General Framework towards Cyber Bonds and Their Pricing Models
inferred← citeshttps://doi.org/10.12785/ijcds/160148openalex-snapshot
Machine Learning-Based Security Mechanism to Detect and Prevent Cyber-Attack in IoT Networks
inferred← citeshttps://doi.org/10.14569/ijacsa.2024.0150343openalex-snapshot
Cyber Security Intrusion Detection and Bot Data Collection using Deep Learning in the IoT
inferred← citeshttps://doi.org/10.1515/jisys-2023-0195openalex-snapshot
Predicting DoS and DDoS attacks in network security scenarios using a hybrid deep learning model
inferred← citeshttps://doi.org/10.15622/ia.23.5.6openalex-snapshot
Rivest-Shamir-Adleman Algorithm Optimized to Protect IoT Devices from Specific Attacks
inferred← citeshttps://doi.org/10.17694/bajece.1805029openalex-snapshot
A Bibliometric Analysis of Maritime Cybersecurity: Trends, Themes, and Collaboration Patterns
inferred← citeshttps://doi.org/10.17853/1994-5639-2026-6-163-200openalex-snapshot
Designing an AI assistant to support independent learning in first -and second-year students
inferred← citeshttps://doi.org/10.19101/ijatee.2022.10100538openalex-snapshot
Investigating the performance vulnerability of AODV protocol of IoT network under SYN-flood attack
inferred← citeshttps://doi.org/10.21015/vtse.v12i1.1720openalex-snapshot
An Intelligent Model for Predictions of PIWI-Interacting RNAs and Their Functions
inferred← citeshttps://doi.org/10.21203/rs.3.rs-2346552/v1openalex-snapshot
Automated Malware Analysis in Internet of Things based Systems: A Deep Learning Approach
inferred← citeshttps://doi.org/10.2174/9789815324488126040036openalex-snapshot
Detection of Cyber-Attacks in Networks Using Machine Learning Techniques
inferred← citeshttps://doi.org/10.21926/jept.2403015openalex-snapshot
Probabilistic Modeling of Cyber-Physical Microgrid Systems to Evaluate the Reliability and Resiliency Implications of Cyber Attacks
inferred← citeshttps://doi.org/10.22541/au.171011417.76922216/v1openalex-snapshot
Impact of Internet of Things (IoT) devices on Network Security at Financial Institutions
inferred← citeshttps://doi.org/10.25103/jestr.165.18openalex-snapshot
Intelligent Detection Method for Malicious Attacks in Enterprise Internet of Things Based on Graph Neural Network
inferred← citeshttps://doi.org/10.30574/gjeta.2023.15.1.0075openalex-snapshot
Assessment of existing cyber-attack detection models for web-based systems
inferred← citeshttps://doi.org/10.31358/techne.v23i2.467openalex-snapshot
Optimizing Performance of AdaBoost Algorithm through Undersampling and Hyperparameter Tuning on CICIoT 2023 Dataset
inferred← citeshttps://doi.org/10.32604/cmc.2023.032969openalex-snapshot
Optimal Bottleneck-Driven Deep Belief Network Enabled Malware Classification on IoT-Cloud Environment
inferred← citeshttps://doi.org/10.32604/cmes.2024.052375openalex-snapshot
Optimal Cyber Attack Strategy Using Reinforcement Learning Based on Common Vulnerability Scoring System
inferred← citeshttps://doi.org/10.32782/2663-5941/2022.5/08openalex-snapshot
ANALYSIS OF THE APPLICATION OF COGNITION METHODS IN INTERNET OF THINGS SYSTEMS BASED ON ARTIFICIAL NEURAL NETWORKS
inferred← citeshttps://doi.org/10.33640/2405-609x.3329openalex-snapshot
Fortifying IoT against crimpling cyber-attacks: a systematic review
inferred← citeshttps://doi.org/10.3389/fenrg.2022.1029113openalex-snapshot
Implementation of a smart energy meter using blockchain and Internet of Things: A step toward energy conservation
inferred← citeshttps://doi.org/10.3389/fenrg.2024.1383090openalex-snapshot
Electricity theft detection in smart grid using machine learning
inferred← citeshttps://doi.org/10.3389/fenrg.2024.1444505openalex-snapshot
A synchronous compression and encryption method for massive electricity consumption data privacy preserving
inferred← citeshttps://doi.org/10.3390/app13031320openalex-snapshot
Location Adaptive Motion Recognition Based on Wi-Fi Feature Enhancement
inferred← citeshttps://doi.org/10.3390/app13042172openalex-snapshot
Metaheuristics with Deep Learning Model for Cybersecurity and Android Malware Detection and Classification
inferred← citeshttps://doi.org/10.3390/app13137811openalex-snapshot
Machine-Learning-Based Password-Strength-Estimation Approach for Passwords of Lithuanian Context
inferred← citeshttps://doi.org/10.3390/app14114515openalex-snapshot
Multi-Perception Graph Convolution Transfer Network Bearing Fault Diagnosis Method
inferred← citeshttps://doi.org/10.3390/batteries9070382openalex-snapshot
Cyber-Physical Cloud Battery Management Systems: Review of Security Aspects
inferred← citeshttps://doi.org/10.3390/electronics11233854openalex-snapshot
Cybersecurity Enhancement of Smart Grid: Attacks, Methods, and Prospects
inferred← citeshttps://doi.org/10.3390/electronics12010084openalex-snapshot
Controllable Wireless Spoofing Attack Based on Conditional BEGAN and Auxiliary Channel Sensing
inferred← citeshttps://doi.org/10.3390/electronics12153286openalex-snapshot
Formal Security Analysis of ECC-Based RFID in Logic of Events Theory
inferred← citeshttps://doi.org/10.3390/electronics13091655openalex-snapshot
Fault Diagnosis Based on Tensor Computing and Meta-Learning for Smart Grid and Power Communication Network
inferred← citeshttps://doi.org/10.3390/en16020820openalex-snapshot
Incorporation of Blockchain Technology for Different Smart Grid Applications: Architecture, Prospects, and Challenges
inferred← citeshttps://doi.org/10.3390/en16104056openalex-snapshot
Machine Learning Algorithms for Identifying Dependencies in OT Protocols
inferred← citeshttps://doi.org/10.3390/info15090558openalex-snapshot
Evading Cyber-Attacks on Hadoop Ecosystem: A Novel Machine Learning-Based Security-Centric Approach towards Big Data Cloud
inferred← citeshttps://doi.org/10.3390/math10162852openalex-snapshot
AI-Empowered Attack Detection and Prevention Scheme for Smart Grid System
inferred← citeshttps://doi.org/10.3390/pr13030753openalex-snapshot
MAS-LSTM: A Multi-Agent LSTM-Based Approach for Scalable Anomaly Detection in IIoT Networks
inferred← citeshttps://doi.org/10.3390/s22207896openalex-snapshot
Network Threat Detection Using Machine/Deep Learning in SDN-Based Platforms: A Comprehensive Analysis of State-of-the-Art Solutions, Discussion, Challenges, and Future Research Direction
inferred← citeshttps://doi.org/10.3390/s22218434openalex-snapshot
A Machine Learning-Based Anomaly Prediction Service for Software-Defined Networks
inferred← citeshttps://doi.org/10.3390/s23010189openalex-snapshot
Relevant Cybersecurity Aspects of IoT Microservices Architectures Deployed over Next-Generation Mobile Networks
inferred← citeshttps://doi.org/10.3390/s23042338openalex-snapshot
New Cognitive Deep-Learning CAPTCHA
inferred← citeshttps://doi.org/10.3390/s23125644openalex-snapshot
Conditional Tabular Generative Adversarial Based Intrusion Detection System for Detecting Ddos and Dos Attacks on the Internet of Things Networks
inferred← citeshttps://doi.org/10.3390/s23177342openalex-snapshot
Approach for Detecting Attacks on IoT Networks Based on Ensemble Feature Selection and Deep Learning Models
inferred← citeshttps://doi.org/10.3390/s23198191openalex-snapshot
Meta-Learner-Based Approach for Detecting Attacks on Internet of Things Networks
inferred← citeshttps://doi.org/10.3390/s25123634openalex-snapshot
Event-Triggered Secure Control Design Against False Data Injection Attacks via Lyapunov-Based Neural Networks
inferred← citeshttps://doi.org/10.3390/s25196022openalex-snapshot
Towards Optimal Sensor Placement for Cybersecurity: An Extensible Model for Defensive Cybersecurity Sensor Placement Evaluation
inferred← citeshttps://doi.org/10.3390/s26020468openalex-snapshot
Shallow Learning Techniques for Early Detection and Classification of Cyberattacks over MQTT IoT Networks
inferred← citeshttps://doi.org/10.3390/s26154802openalex-snapshot
Distributed Artificial Intelligence for IoT Security: A Structured Review
inferred← citeshttps://doi.org/10.3390/su15076031openalex-snapshot
Energy Analysis-Based Cyber Attack Detection by IoT with Artificial Intelligence in a Sustainable Smart City
inferred← citeshttps://doi.org/10.34190/iccws.19.1.2166openalex-snapshot
Deep Learning-based Framework for Detecting Malicious Insider-Inspired Cyberattacks Activities in Organisations
inferred← citeshttps://doi.org/10.3934/math.20251043openalex-snapshot
Cybersecurity threat detection based on a UEBA framework using Deep Autoencoders
inferred← citeshttps://doi.org/10.4018/978-1-6684-7625-3.ch005openalex-snapshot
IoT Security, Future Challenges, and Open Issues
inferred← citeshttps://doi.org/10.4018/979-8-3693-9225-6.ch011openalex-snapshot
To Enhance Cyber Security for IoT
inferred← citeshttps://doi.org/10.5121/csit.2023.132103openalex-snapshot
Trust-Based Approaches Towards Enhancing IoT Security: A Systematic Literature Review
inferred← citeshttps://doi.org/10.53555/ephijse.v9i3.215openalex-snapshot
SAFEGUARDING STABILITY: STRATEGIES FOR ADDRESSING DYNAMIC SYSTEM VARIATIONS IN POWER GRID CYBERSECURITY
inferred← citeshttps://doi.org/10.53759/7669/jmc202404081openalex-snapshot
ECBoA-OFS: An Ensemble Classification Model for Botnet Attacks based on Optimal Feature Selection using CPR in IoT
inferred← citeshttps://doi.org/10.56770/pst2025124openalex-snapshot
Effectiveness of predictive neural network models in improving cyberattack detection and vulnerability assessment in critical infrastructure systems
inferred← citeshttps://doi.org/10.5755/j01.itc.51.4.31818openalex-snapshot
Decision Tree with Pearson Correlation-based Recursive Feature Elimination Model for Attack Detection in IoT Environment
inferred← citeshttps://doi.org/10.58496/mjcsc/2025/023openalex-snapshot
Enhanced IOT Cyber-Attack Detection Using Grey Wolf Optimized Feature Selection and Adaptive SMOTE
inferred← citeshttps://doi.org/10.58564/ijser.3.1.2024.142openalex-snapshot
Addressing the Vulnerability of Data Routing in IoT Network based on Optimization Techniques and Advanced Blow Fish Encryption
inferred← citeshttps://doi.org/10.62019/abbdm.v3i1.56openalex-snapshot
Designing Secure and Robust E-Commerce Plaform for Public Cloud
inferred← citeshttps://doi.org/10.62411/faith.3048-3719-384openalex-snapshot
Protocol Weakness-Aware CNN-BiLSTM-Transformer Adaptive Fusion Network with Early-Risk and Uncertainty-Aware IoT Cyberattack Detection
inferred← citeshttps://doi.org/10.62527/joiv.8.1.2220openalex-snapshot
Network Attack Detection Using NeuroEvolution of Augmenting Topologies (NEAT) Algorithm
inferred← citeshttps://doi.org/10.70985/qnwmvn34openalex-snapshot
User Behavior Analysis and Security Strategy Optimization of College English Learning Platform Using Dynamic Graph Convolutional Network
inferred← citeshttps://doi.org/10.9734/ajrcos/2024/v17i6471openalex-snapshot
Health Monitoring of Li-ion Batteries: State-of-the-Art Techniques and Emerging Trends in Engineering and Energy Storage
inferred← citeshttps://doi.org/10.9734/jerr/2024/v26i81230openalex-snapshot
Innovations in Thermal Management Techniques for Enhanced Performance and Reliability in Engineering Applications
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