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Cyber Security for Detecting Distributed Denial of Service Attacks in Agriculture 4.0: Deep Learning Model
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2 of the 51 references listed on this page are in the Retraction Watch database as retracted (export 2026-11-11): 10.1155/2020/6660489 (notice 2023-08-16), 10.1155/2022/3553622 (notice 2023-12-06).
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-030-31703-4openalex-snapshot
Cyber Security: The Lifeline of Information and Communication Technology
inferredcites →https://doi.org/10.1007/978-3-030-35291-2_10openalex-snapshot
Internet of Things for Sustainability: Perspectives in Privacy, Cybersecurity, and Future Trends
inferredcites →https://doi.org/10.1007/978-3-642-19149-7openalex-snapshot
Auftragsmanagement der industriellen Produktion
inferredcites →https://doi.org/10.1007/s11740-014-0586-3openalex-snapshot
Making existing production systems Industry 4.0-ready
inferredcites →https://doi.org/10.1016/j.compeleceng.2020.106738openalex-snapshot
Near real-time security system applied to SDN environments in IoT networks using convolutional neural network
inferredcites →https://doi.org/10.1016/j.compind.2018.09.004openalex-snapshot
Cybersecurity for Industry 4.0 in the current literature: A reference framework
inferredcites →https://doi.org/10.1016/j.future.2018.04.027openalex-snapshot
Security, privacy and trust of different layers in Internet-of-Things (IoTs) framework
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.jisa.2019.102419openalex-snapshot
Deep learning for cyber security intrusion detection: Approaches, datasets, and comparative study
inferredcites →https://doi.org/10.1016/j.mfglet.2014.12.001openalex-snapshot
A Cyber-Physical Systems architecture for Industry 4.0-based manufacturing systems
inferredcites →https://doi.org/10.1038/s41893-020-0510-0openalex-snapshot
Digital agriculture to design sustainable agricultural systems
inferredcites →https://doi.org/10.1080/0951192x.2013.874595openalex-snapshot
A state-of-the-art survey of cloud manufacturing
inferredcites →https://doi.org/10.1080/17517575.2013.839055openalex-snapshot
Cloud manufacturing: from concept to practice
inferredcites →https://doi.org/10.1088/1402-4896/ac66a1openalex-snapshot
Multiple-image encryption algorithm based on genetic central dogma
inferredcites →https://doi.org/10.1109/access.2020.2973178openalex-snapshot
Security and Privacy for Green IoT-Based Agriculture: Review, Blockchain Solutions, and Challenges
inferredcites →https://doi.org/10.1109/access.2020.2975142openalex-snapshot
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inferredcites →https://doi.org/10.1109/access.2020.2986013openalex-snapshot
Effective Attack Detection in Internet of Medical Things Smart Environment Using a Deep Belief Neural Network
inferredcites →https://doi.org/10.1109/access.2020.3033942openalex-snapshot
Bandwidth Control Mechanism and Extreme Gradient Boosting Algorithm for Protecting Software-Defined Networks Against DDoS Attacks
inferredcites →https://doi.org/10.1109/cic50333.2020.00025openalex-snapshot
Cyber Attacks on Smart Farming Infrastructure
inferredcites →https://doi.org/10.1109/comst.2015.2494502openalex-snapshot
A Survey of Data Mining and Machine Learning Methods for Cyber Security Intrusion Detection
inferredcites →https://doi.org/10.1109/icacci.2017.8126009openalex-snapshot
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inferredcites →https://doi.org/10.1109/icaccs.2017.8014590openalex-snapshot
Support vector machine based intrusion detection system with reduced input features for advanced metering infrastructure of smart grid
inferredcites →https://doi.org/10.1109/icsgce.2015.7454287openalex-snapshot
Real-time anomaly-based distributed intrusion detection systems for advanced Metering Infrastructure utilizing stream data mining
inferredcites →https://doi.org/10.1109/is.2018.8710531openalex-snapshot
Smart Farming: Cyber Security Challenges
inferredcites →https://doi.org/10.1109/iscbi.2016.7743267openalex-snapshot
Intrusion detection system for the detection of blackhole attacks in a smart grid
inferredcites →https://doi.org/10.1109/jas.2016.7510178openalex-snapshot
Intrusion detection system for PS-Poll DoS attack in 802.11 networks using real time discrete event system
inferredcites →https://doi.org/10.1109/jas.2017.7510754openalex-snapshot
An intrusion detection algorithm for wireless networks based on ASDL
inferredcites →https://doi.org/10.1109/jas.2020.1003536openalex-snapshot
A Survey on Smart Agriculture: Development Modes, Technologies, and Security and Privacy Challenges
inferredcites →https://doi.org/10.1109/jiot.2020.2993782openalex-snapshot
FlowGuard: An Intelligent Edge Defense Mechanism Against IoT DDoS Attacks
inferredcites →https://doi.org/10.1109/jiot.2020.2996590openalex-snapshot
A Deep Blockchain Framework-Enabled Collaborative Intrusion Detection for Protecting IoT and Cloud Networks
inferredcites →https://doi.org/10.1109/jiot.2020.3034156openalex-snapshot
Hybrid Deep Learning for Botnet Attack Detection in the Internet-of-Things Networks
inferredcites →https://doi.org/10.1109/mcc.2017.5openalex-snapshot
Cloud of Things in Smart Agriculture: Intelligent Irrigation Monitoring by Thermal Imaging
inferredcites →https://doi.org/10.1109/tem.2019.2922936openalex-snapshot
DeepCoin: A Novel Deep Learning and Blockchain-Based Energy Exchange Framework for Smart Grids
inferredcites →https://doi.org/10.1109/tii.2016.2543145openalex-snapshot
Decision Tree and SVM-Based Data Analytics for Theft Detection in Smart Grid
inferredcites →https://doi.org/10.1109/tsg.2016.2600585openalex-snapshot
Intrusion Detection and Prevention for ZigBee-Based Home Area Networks in Smart Grids
inferredcites →https://doi.org/10.1155/2020/6660489openalex-snapshot
Adaptive Anomaly Detection Framework Model Objects in Cyberspace
inferredcites →https://doi.org/10.1155/2021/3806459openalex-snapshot
Botnet Attack Detection by Using CNN-LSTM Model for Internet of Things Applications
inferredcites →https://doi.org/10.1155/2021/5579851openalex-snapshot
Intrusion Detection System to Advance Internet of Things Infrastructure‐Based Deep Learning Algorithms
inferredcites →https://doi.org/10.1155/2022/3553622openalex-snapshot
Network Traffic Forecasting in Network Cybersecurity: Granular Computing Model
inferredcites →https://doi.org/10.3389/fbioe.2019.00063openalex-snapshot
Cyberbiosecurity: A New Perspective on Protecting U.S. Food and Agricultural System
inferredcites →https://doi.org/10.3390/electronics11223837openalex-snapshot
Artificial Intelligence Algorithms for Detecting and Classifying MQTT Protocol Internet of Things Attacks
inferredcites →https://doi.org/10.3390/en12173310openalex-snapshot
Electricity Theft Detection in Smart Grid Systems: A CNN-LSTM Based Approach
inferredcites →https://doi.org/10.3390/s20226458openalex-snapshot
Survey on Security Threats in Agricultural IoT and Smart Farming
inferredcites →https://doi.org/10.3390/s21144736openalex-snapshot
Deep Transfer Learning Based Intrusion Detection System for Electric Vehicular Networks
inferredcites →https://doi.org/10.3390/s21227475openalex-snapshot
Performance of Machine Learning-Based Multi-Model Voting Ensemble Methods for Network Threat Detection in Agriculture 4.0
inferredcites →https://doi.org/10.3390/s22010360openalex-snapshot
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inferredcites →https://doi.org/10.3390/s22062268openalex-snapshot
Artificial Intelligence Algorithms for Malware Detection in Android-Operated Mobile Devices
inferredcites →https://doi.org/10.3390/s22134685openalex-snapshot
Artificial Intelligence Algorithm-Based Economic Denial of Sustainability Attack Detection Systems: Cloud Computing Environments
inferredcites →https://doi.org/10.5772/intechopen.69016openalex-snapshot
Automation in Agriculture - Securing Food Supplies for Future Generations
inferredcites →https://doi.org/10.64628/aa.5ekesjkufopenalex-snapshot
Ransomware attack on sheep farmers shows there’s no room for woolly thinking in cyber security
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Risk Assessment and Cybersecurity Strategies for Agricultural Systems
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Quantum‐Neural Network Model for Platform Independent Ddos Attack Classification in Cyber Security
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GUARDEV: Guided Unified Adaptive Response for Defending Electric Vehicles
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DDoS Attack Detection in Smart Agriculture Using Machine Learning
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Optimized Prediction in Cyber-Physical Smart Agriculture Using Information Granulation and PSO-SVM
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A diversified and heterogeneous ensemble learning framework with predictive uncertainty calibration for explainable anomaly analysis
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From perception to reaction: an RLCC-engine-driven cybersecurity framework for smart agricultural ecosystems
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Taxonomy of cybersecurity considerations in agriculture
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Aplicación de la Inteligencia Artificial y la Agromática en la Ciberseguridad de Infraestructuras Agropecuarias en Contextos Regionales
inferred← citeshttps://doi.org/10.70675/be2a56f7z2468z4008z99e0z96aaa0248ba9openalex-snapshot
Intrusion Detection in Cyber-Physical Systems for enhanced Cybersecurity of Water Management Systems
inferred← citeshttps://doi.org/10.7717/peerj-cs.2162openalex-snapshot
A DoS attack detection method based on adversarial neural network
inferred← citeshttps://doi.org/10.7717/peerj-cs.2276openalex-snapshot
Optimizing agricultural data security: harnessing IoT and AI with Latency Aware Accuracy Index (LAAI)
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