On the public citation graph
Deep Learning-Based Intrusion Detection for Distributed Denial of Service Attack in Agriculture 4.0
0 signed · 301 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1016/b978-0-12-816176-0.00026-0openalex-snapshot
Deep learning: RNNs and LSTM
inferredcites →https://doi.org/10.1016/j.comcom.2020.12.003openalex-snapshot
An ensemble learning and fog-cloud architecture-driven cyber-attack detection framework for IoMT networks
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.comnet.2021.107819openalex-snapshot
SP2F: A secured privacy-preserving framework for smart agricultural Unmanned Aerial Vehicles
inferredcites →https://doi.org/10.1016/j.compag.2018.02.016openalex-snapshot
Deep learning in agriculture: A survey
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.cose.2020.101752openalex-snapshot
A deep learning method with wrapper based feature extraction for wireless intrusion detection system
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.2019.03.043openalex-snapshot
A deep learning approach for proactive multi-cloud cooperative intrusion detection system
inferredcites →https://doi.org/10.1016/j.future.2020.03.042openalex-snapshot
A new network forensic framework based on deep learning for Internet of Things networks: A particle deep 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.ins.2019.10.069openalex-snapshot
A hybrid deep learning model for efficient intrusion detection in big data environment
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.2012.09.004openalex-snapshot
Intrusion detection system: A comprehensive review
inferredcites →https://doi.org/10.1016/j.jnca.2020.102662openalex-snapshot
Detecting Internet of Things attacks using distributed deep learning
inferredcites →https://doi.org/10.1016/j.jnca.2020.102942openalex-snapshot
A GRU deep learning system against attacks in software defined networks
inferredcites →https://doi.org/10.1016/j.sysarc.2020.101954openalex-snapshot
TP2SF: A Trustworthy Privacy-Preserving Secured Framework for sustainable smart cities by leveraging blockchain and machine learning
inferredcites →https://doi.org/10.1109/access.2017.2783682openalex-snapshot
Smart Factory of Industry 4.0: Key Technologies, Application Case, and Challenges
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.2020.2974293openalex-snapshot
RTVD: A Real-Time Volumetric Detection Scheme for DDoS in the Internet of Things
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.2020.2994079openalex-snapshot
A Novel Attack Detection Scheme for the Industrial Internet of Things Using a Lightweight Random Neural Network
inferredcites →https://doi.org/10.1109/access.2020.3022862openalex-snapshot
TON_IoT Telemetry Dataset: A New Generation Dataset of IoT and IIoT for Data-Driven Intrusion Detection Systems
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/ccst.2019.8888419openalex-snapshot
Developing Realistic Distributed Denial of Service (DDoS) Attack Dataset and Taxonomy
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/icess49830.2020.9301591openalex-snapshot
Efficient and Intelligent Attack Detection in Software Defined IoT Networks
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/jas.2021.1003925openalex-snapshot
Internet of Things for the Future of Smart Agriculture: A Comprehensive Survey of Emerging Technologies
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.2020.3009180openalex-snapshot
Omni SCADA Intrusion Detection Using Deep Learning Algorithms
inferredcites →https://doi.org/10.1109/jiot.2020.3032093openalex-snapshot
Developing a Security Testbed for Industrial Internet of Things
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/tcss.2021.3063538openalex-snapshot
Intrusion Detection for Secure Social Internet of Things Based on Collaborative Edge Computing: A Generative Adversarial Network-Based Approach
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/tia.2020.2971952openalex-snapshot
A Visualized Botnet Detection System Based Deep Learning for the Internet of Things Networks of Smart Cities
inferredcites →https://doi.org/10.1109/tii.2020.3003910openalex-snapshot
From Industry 4.0 to Agriculture 4.0: Current Status, Enabling Technologies, and Research Challenges
inferredcites →https://doi.org/10.1109/tii.2020.3022432openalex-snapshot
Variational LSTM Enhanced Anomaly Detection for Industrial Big Data
inferredcites →https://doi.org/10.1109/tii.2020.3023430openalex-snapshot
DeepFed: Federated Deep Learning for Intrusion Detection in Industrial Cyber–Physical Systems
inferredcites →https://doi.org/10.1109/tnse.2020.2990984openalex-snapshot
Data-Driven Intrusion Detection for Intelligent Internet of Vehicles: A Deep Convolutional Neural Network-Based Method
inferredcites →https://doi.org/10.1109/tnse.2020.3032415openalex-snapshot
Deep Learning-Enabled Threat Intelligence Scheme in the Internet of Things Networks
inferredcites →https://doi.org/10.1109/tnsm.2021.3075503openalex-snapshot
A New Method for Flow-Based Network Intrusion Detection Using the Inverse Potts Model
inferredcites →https://doi.org/10.1109/wcnc45663.2020.9120761openalex-snapshot
Collaborative Learning Model for Cyberattack Detection Systems in IoT Industry 4.0
inferredcites →https://doi.org/10.14236/ewic/icscsr19.16openalex-snapshot
Deep Learning Techniques for Cyber Security Intrusion Detection : A Detailed Analysis
inferredcites →https://doi.org/10.3390/electronics10040372openalex-snapshot
A Smartphone-Based Application for Scale Pest Detection Using Multiple-Object Detection Methods
inferredcites →https://doi.org/10.3390/electronics10080918openalex-snapshot
SDN-Enabled Hybrid DL-Driven Framework for the Detection of Emerging Cyber Threats in IoT
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.4862751openalex-extracted
Multi-View Fusion Based for Intrusion Detection with Deep Learning Architectures
inferred← citeshttps://doi.org/10.1002/9781394234028.ch9openalex-snapshot
Securing Business Transactions Using Merkle Tree
inferred← citeshttps://doi.org/10.1002/cpe.7738openalex-snapshot
A novel‐cascaded ANFIS ‐based deep reinforcement learning for the detection of attack in cloud IoT‐ based smart city applications
inferred← citeshttps://doi.org/10.1002/cpe.8116openalex-snapshot
Containerized deep learning in agriculture: Orchestrating GoogleNet with Kubernetes on high performance computing
inferred← citeshttps://doi.org/10.1002/cpe.8157openalex-snapshot
A novel CNN‐based approach for detection and classification of DDoS attacks
inferred← citeshttps://doi.org/10.1002/ett.4861openalex-snapshot
Security analysis of fog computing environment for ensuring the security and privacy of information
inferred← citeshttps://doi.org/10.1002/spy2.70148openalex-snapshot
LIDS: A Novel Lightweight Intrusion Detection System for DDoS Attacks
inferred← citeshttps://doi.org/10.1007/978-3-030-99619-2_4openalex-snapshot
A Proposed Intrusion Detection Method Based on Machine Learning Used for Internet of Things Systems
inferred← citeshttps://doi.org/10.1007/978-3-031-22356-3_9openalex-snapshot
Security of IoT Application Layer: Requirements, Threats, and Solutions
inferred← citeshttps://doi.org/10.1007/978-3-031-29419-8_18openalex-snapshot
Threat Mitigation Model with Low False Alarm Rate Based on Hybrid Deep Belief Network
inferred← citeshttps://doi.org/10.1007/978-3-031-33743-7_41openalex-snapshot
Evaluation of Human Immune-Based IDPS Under DoS/DDoS Attacks
inferred← citeshttps://doi.org/10.1007/978-3-031-64954-7_3openalex-snapshot
Lightweight Intrusion Detection for IoT Systems Using Artificial Neural Networks
inferred← citeshttps://doi.org/10.1007/978-3-031-84059-3_10openalex-snapshot
Advanced Techniques for Agricultural Crop Yield Prediction Using Machine Learning and Computer Vision
inferred← citeshttps://doi.org/10.1007/978-3-031-96944-7_15openalex-snapshot
Research on Network Anomaly Traffic Attack Detection
inferred← citeshttps://doi.org/10.1007/978-3-032-00403-1_4openalex-snapshot
Oat (Avena sativa L.): Genetic Diversity, Breeding Innovations, Technological Progress, and Conservation Approaches
inferred← citeshttps://doi.org/10.1007/978-3-032-09598-5_5openalex-snapshot
Deep Learning for DDoS Attack Detection in IoT: A Survey
inferred← citeshttps://doi.org/10.1007/978-3-032-14534-5_23openalex-snapshot
CV-AE: A Hybrid IoT Intrusion Detection System with Feature Extraction Using Autoencoders
inferred← citeshttps://doi.org/10.1007/978-3-032-19529-6_4openalex-snapshot
DDoS Attack Detection in Smart Agriculture Using Machine Learning
inferred← citeshttps://doi.org/10.1007/978-3-032-20318-2_14openalex-snapshot
Farm-FlowNet: A Lightweight CNN-Based IDS for Precision Agriculture
inferred← citeshttps://doi.org/10.1007/978-3-032-21654-0_18openalex-snapshot
Digitalization of Manufacturing Process Monitoring and Control Using Digit.io Software
inferred← citeshttps://doi.org/10.1007/978-981-19-2358-6_53openalex-snapshot
Machine Learning-Based DoS Attack Detection Techniques in Wireless Sensor Network: A Review
inferred← citeshttps://doi.org/10.1007/978-981-95-3658-0_99openalex-snapshot
Human-Centered Artificial Intelligence in Cybersecurity
inferred← citeshttps://doi.org/10.1007/978-981-96-3352-4_20openalex-snapshot
Intrusion Detection in Industrial IoT Using Deep Learning
inferred← citeshttps://doi.org/10.1007/978-981-96-6046-9_36openalex-snapshot
Ethical AI in Smart Agriculture 4.0: A Consortium of IoT and AI for Sustainable Farming
inferred← citeshttps://doi.org/10.1007/978-981-96-6591-4_5openalex-snapshot
TDAT: A Real-Time Two-Stage DDoS Attacks Detector Based on Anomaly Transformer
inferred← citeshttps://doi.org/10.1007/978-981-97-0052-3_14openalex-snapshot
Security in IOT-Enabled Smart Agriculture Systems
inferred← citeshttps://doi.org/10.1007/978-981-97-8440-0_99-1openalex-snapshot
Human-Centered Artificial Intelligence in Cybersecurity
inferred← citeshttps://doi.org/10.1007/978-981-99-3432-4_24openalex-snapshot
Boosting Algorithms-Based Intrusion Detection System: A Performance Comparison Perspective
inferred← citeshttps://doi.org/10.1007/978-981-99-4590-0_7openalex-snapshot
DewIDS: Dew Computing for Intrusion Detection System in Edge of Things
inferred← citeshttps://doi.org/10.1007/978-981-99-5358-5_11openalex-snapshot
An Integrated Secure Blockchain and Deep Neural Network Framework for Better Agricultural Business Outcomes
inferred← citeshttps://doi.org/10.1007/s00521-023-08319-0openalex-snapshot
An optimized model for network intrusion detection systems in industry 4.0 using XAI based Bi-LSTM framework
inferred← citeshttps://doi.org/10.1007/s10586-022-03566-7openalex-snapshot
Security in IoT-enabled smart agriculture: architecture, security solutions and challenges
inferred← citeshttps://doi.org/10.1007/s10586-023-04052-4openalex-snapshot
Intrusion detection in internet of things-based smart farming using hybrid deep learning framework
inferred← citeshttps://doi.org/10.1007/s10586-024-04365-yopenalex-snapshot
Data fusion and network intrusion detection systems
inferred← citeshttps://doi.org/10.1007/s10586-024-05003-3openalex-snapshot
A novel CNN-enhanced detection and mitigation of DDoS attacks in SDN
inferred← citeshttps://doi.org/10.1007/s10586-025-05590-9openalex-snapshot
An intelligent light-weight intrusion detection system for edge-centric smart logistics system
inferred← citeshttps://doi.org/10.1007/s10922-022-09697-xopenalex-snapshot
Efficient Intelligent Intrusion Detection System for Heterogeneous Internet of Things (HetIoT)
inferred← citeshttps://doi.org/10.1007/s11042-023-16715-wopenalex-snapshot
Heterogeneous IoT (HetIoT) security: techniques, challenges and open issues
inferred← citeshttps://doi.org/10.1007/s11227-023-05771-6openalex-snapshot
Anomaly detection in IOT edge computing using deep learning and instance-level horizontal reduction
inferred← citeshttps://doi.org/10.1007/s11227-026-08877-9openalex-snapshot
Msfc-net: a multi-scale feature collaborative fusion network for network traffic anomaly detection
inferred← citeshttps://doi.org/10.1007/s11277-023-10769-7openalex-snapshot
Intelligent LSTM (iLSTM)-Security Model for HetIoT
inferred← citeshttps://doi.org/10.1007/s11277-023-10852-zopenalex-snapshot
An Evolutionary Computation-Based Federated Learning for Host Intrusion Detection in Real-Time Traffic Analysis
inferred← citeshttps://doi.org/10.1007/s13042-025-02544-wopenalex-snapshot
Enhancing network security in industrial IoT environments: a DeepCLG hybrid learning model for cyberattack detection
inferred← citeshttps://doi.org/10.1007/s41060-025-00980-zopenalex-snapshot
Scalable and generalizable AI-based intrusion detection in AIoT: a review and lightweight ensemble solution
inferred← citeshttps://doi.org/10.1007/s41870-024-02199-wopenalex-snapshot
Horse Herd optimization with deep learning based intrusion detection in cloud computing environment
inferred← citeshttps://doi.org/10.1007/s42488-025-00146-3openalex-snapshot
Knowledge flows in industry 4.0 research: a longitudinal and dynamic analysis
inferred← citeshttps://doi.org/10.1007/s43926-025-00169-7openalex-snapshot
Federated learning for intrusion detection in IoT environments: a privacy-preserving strategy
inferred← citeshttps://doi.org/10.1007/s44163-026-02370-1openalex-snapshot
Feedback guided decision boundary adaptation for stable IoT intrusion detection under distribution shift
inferred← citeshttps://doi.org/10.1016/b978-0-443-13185-1.00009-5openalex-snapshot
Toward precision agriculture in Cyber-Physical Agricultural System
inferred← citeshttps://doi.org/10.1016/b978-0-443-15516-1.00003-7openalex-snapshot
Food Quality 4.0: contribution to sustainability
inferred← citeshttps://doi.org/10.1016/b978-0-443-15516-1.00014-1openalex-snapshot
From Food Industry 4.0 toward Food Industry 5.0: human-centric approach for enhanced sustainability and resilience in the food and agriculture sector
inferred← citeshttps://doi.org/10.1016/j.aei.2024.103095openalex-snapshot
A fuzzy dematel-based delegated Proof-of-Stake consensus mechanism for medical model fusion on blockchain
inferred← citeshttps://doi.org/10.1016/j.asoc.2022.108439openalex-snapshot
Cybersecurity of multi-cloud healthcare systems: A hierarchical deep learning approach
inferred← citeshttps://doi.org/10.1016/j.atech.2024.100533openalex-snapshot
Hyperspectral image reconstruction for predicting chick embryo mortality towards advancing egg and hatchery industry
inferred← citeshttps://doi.org/10.1016/j.atech.2024.100616openalex-snapshot
Cybersecurity threats and mitigation measures in agriculture 4.0 and 5.0
inferred← citeshttps://doi.org/10.1016/j.comnet.2021.108661openalex-snapshot
Evaluating Federated Learning for intrusion detection in Internet of Things: Review and challenges
inferred← citeshttps://doi.org/10.1016/j.comnet.2025.111577openalex-snapshot
A modular system for real-time intrusion detection on local area networks
inferred← citeshttps://doi.org/10.1016/j.compeleceng.2022.108214openalex-snapshot
DeBot: A deep learning-based model for bot detection in industrial internet-of-things
inferred← citeshttps://doi.org/10.1016/j.compeleceng.2023.108799openalex-snapshot
Smart and sustainable agriculture: Fundamentals, enabling technologies, and future directions
inferred← citeshttps://doi.org/10.1016/j.compeleceng.2024.109277openalex-snapshot
A Robust DDoS Intrusion Detection System Using Convolutional Neural Network
inferred← citeshttps://doi.org/10.1016/j.compeleceng.2024.109725openalex-snapshot
Landscape of learning techniques for intrusion detection system in IoT: A systematic literature review
inferred← citeshttps://doi.org/10.1016/j.compeleceng.2025.110431openalex-snapshot
Enhancing cybersecurity in Agriculture 4.0: A high-performance hybrid deep learning-based framework for DDoS attack detection
inferred← citeshttps://doi.org/10.1016/j.cose.2022.102748openalex-snapshot
A new DDoS attacks intrusion detection model based on deep learning for cybersecurity
inferred← citeshttps://doi.org/10.1016/j.cose.2024.103716openalex-snapshot
Cyber-Secure SDN: A CNN-Based Approach for Efficient Detection and Mitigation of DDoS attacks
inferred← citeshttps://doi.org/10.1016/j.cose.2024.103754openalex-snapshot
Agriculture 4.0 and beyond: Evaluating cyber threat intelligence sources and techniques in smart farming ecosystems
inferred← citeshttps://doi.org/10.1016/j.cose.2025.104595openalex-snapshot
Feature attention assisted convolutional stacked sparse auto-encoder model for intrusion detection in network function virtualization environment
inferred← citeshttps://doi.org/10.1016/j.cose.2025.104790openalex-snapshot
Systematic mapping study to assess security landscape for IoT-based smart farming systems
inferred← citeshttps://doi.org/10.1016/j.eij.2024.100448openalex-snapshot
Cyber vulnerabilities detection system in logistics-based IoT data exchange
inferred← citeshttps://doi.org/10.1016/j.engappai.2022.105670openalex-snapshot
RepuTE: A soft voting ensemble learning framework for reputation-based attack detection in fog-IoT milieu
inferred← citeshttps://doi.org/10.1016/j.eswa.2022.119330openalex-snapshot
Implementation of intrusion detection model for DDoS attacks in Lightweight IoT Networks
inferred← citeshttps://doi.org/10.1016/j.heliyon.2025.e42136openalex-snapshot
Internet of things enabled smart agriculture: Current status, latest advancements, challenges and countermeasures
inferred← citeshttps://doi.org/10.1016/j.icte.2025.09.006openalex-snapshot
Optimized hybrid CNN-LSTM-GRU model for cyber attack detection using Adaptive Equilibrium Optimization
inferred← citeshttps://doi.org/10.1016/j.ijin.2022.09.004openalex-snapshot
Enhancing smart farming through the applications of Agriculture 4.0 technologies
inferred← citeshttps://doi.org/10.1016/j.iot.2023.100715openalex-snapshot
Securing massive IoT in 6G: Recent solutions, architectures, future directions
inferred← citeshttps://doi.org/10.1016/j.iot.2025.101686openalex-snapshot
Threat detection in the 6G enabled Industrial IoT Networks using Deep Learning: A review on the state-of-the-art solutions, challenges and future research directions
inferred← citeshttps://doi.org/10.1016/j.iot.2025.101773openalex-snapshot
An innovative intrusion detection framework using GAN-augmented Deep Ensemble Neural Network for cross-domain IoT–cloud security
inferred← citeshttps://doi.org/10.1016/j.jafr.2024.101048openalex-snapshot
Application of precision agriculture technologies in Central Europe-review
inferred← citeshttps://doi.org/10.1016/j.jafr.2025.102245openalex-snapshot
A review of cybersecurity incidents in the food and agriculture sector
inferred← citeshttps://doi.org/10.1016/j.jnca.2021.103213openalex-snapshot
A survey on deep learning for challenged networks: Applications and trends
inferred← citeshttps://doi.org/10.1016/j.jpdc.2022.03.003openalex-snapshot
FELIDS: Federated learning-based intrusion detection system for agricultural Internet of Things
inferred← citeshttps://doi.org/10.1016/j.jpdc.2023.05.001openalex-snapshot
Exploring edge TPU for network intrusion detection in IoT
inferred← citeshttps://doi.org/10.1016/j.pmcj.2025.102123openalex-snapshot
XAI-driven multi-attention DeepCRNN for enhanced cyberattack detection in internet of medical things environments
inferred← citeshttps://doi.org/10.1016/j.procs.2025.07.164openalex-snapshot
Efficient DDoS Detection with Minimal Features: High Accuracy Using CIC-DDoS2019
inferred← citeshttps://doi.org/10.1016/j.procs.2026.08.385openalex-snapshot
Lightweight Multiclass Intrusion Detection for Resource-Constrained Edge and IoT Devices
inferred← citeshttps://doi.org/10.1016/j.rineng.2026.111513openalex-snapshot
A lightweight MobileNetV2-based intrusion detection system for mitigating DDoS attacks on edge devices
inferred← citeshttps://doi.org/10.1016/j.rineng.2026.111989openalex-snapshot
An optimized latent-space classifier with Banzhaf-inspired probabilistic feature selection for ransomware detection in IoT edge environments
inferred← citeshttps://doi.org/10.1016/j.techfore.2024.123640openalex-snapshot
Industry 4.0 technologies in Smart Agriculture: A review and a Technology Assessment Model proposition
inferred← citeshttps://doi.org/10.1016/j.teler.2025.100211openalex-snapshot
DDoS attack detection using CNN-BiLSTM with attention mechanism
inferred← citeshttps://doi.org/10.1038/s41598-023-42678-xopenalex-snapshot
RETRACTED ARTICLE: Prediction of DDoS attacks in agriculture 4.0 with the help of prairie dog optimization algorithm with IDSNet
inferred← citeshttps://doi.org/10.1038/s41598-024-81147-xopenalex-snapshot
Enhanced Grey Wolf Optimization (EGWO) and random forest based mechanism for intrusion detection in IoT networks
inferred← citeshttps://doi.org/10.1038/s41598-024-81322-0openalex-snapshot
The optimization path of agricultural industry structure and intelligent transformation by deep learning
inferred← citeshttps://doi.org/10.1049/cmu2.70094openalex-snapshot
CDBi‐LSTM: A Hybrid Deep Learning Model With Attention‐Based Fusion for Efficient DDoS Detection in IoT Environments
inferred← citeshttps://doi.org/10.1051/itmconf/20246000009openalex-snapshot
CatBoost-based Intrusion Detection Method for the Physical Layer of Smart Agriculture
inferred← citeshttps://doi.org/10.1063/5.0200343openalex-snapshot
LeNet enabled intrusion detection system for iot- networks
inferred← citeshttps://doi.org/10.1080/01969722.2023.2175153openalex-snapshot
BRDO: Blockchain Assisted Intrusion Detection Using Optimized Deep Stacked Network
inferred← citeshttps://doi.org/10.1080/01969722.2025.2583964openalex-snapshot
Cybersecurity Challenges in Agriculture: Detecting DDoS Attacks with a Novel Machine Learning-Based Approach
inferred← citeshttps://doi.org/10.1080/19393555.2025.2542170openalex-snapshot
Prediction of ddos attack by hierarchical attention- based bigru classifier
inferred← citeshttps://doi.org/10.1088/2632-072x/ad506bopenalex-snapshot
Securing edge-IIoT networks: a comprehensive ensemble-based DDoS detection system
inferred← citeshttps://doi.org/10.1109/access.2022.3176643openalex-snapshot
Deep Learning Agricultural Information Classification Combined With Internet of Things Technology in Agricultural Production and Economic Management
inferred← citeshttps://doi.org/10.1109/access.2022.3205351openalex-snapshot
Security in the Internet of Things Application Layer: Requirements, Threats, and Solutions
inferred← citeshttps://doi.org/10.1109/access.2023.3318176openalex-snapshot
Modified Equilibrium Optimization Algorithm With Deep Learning-Based DDoS Attack Classification in 5G Networks
inferred← citeshttps://doi.org/10.1109/access.2023.3324657openalex-snapshot
MAGRU-IDS: A Multi-Head Attention-Based Gated Recurrent Unit for Intrusion Detection in IIoT Networks
inferred← citeshttps://doi.org/10.1109/access.2024.3359043openalex-snapshot
Enhanced Black Widow Optimization With Hybrid Deep Learning Enabled Intrusion Detection in Internet of Things-Based Smart Farming
inferred← citeshttps://doi.org/10.1109/access.2024.3376400openalex-snapshot
Hybrid Machine Learning Model for Efficient Botnet Attack Detection in IoT Environment
inferred← citeshttps://doi.org/10.1109/access.2024.3394617openalex-snapshot
A Systematic Literature Review of the IoT in Agriculture—Global Adoption, Innovations, Security, and Privacy Challenges
inferred← citeshttps://doi.org/10.1109/access.2024.3522248openalex-snapshot
A Comprehensive Review of Deep Learning-Based Anomaly Detection Methods for Precision Agriculture
inferred← citeshttps://doi.org/10.1109/access.2025.3550800openalex-snapshot
CBCTL-IDS: A Transfer Learning-Based Intrusion Detection System Optimized With the Black Kite Algorithm for IoT-Enabled Smart Agriculture
inferred← citeshttps://doi.org/10.1109/access.2025.3553558openalex-snapshot
Performance Analysis of Machine Learning Techniques for Server Health Monitoring Using Time Series Data Against DDOS Attacks
inferred← citeshttps://doi.org/10.1109/access.2025.3564066openalex-snapshot
A Comparative Analysis of Single and Multi-View Deep Learning for Cybersecurity Anomaly Detection
inferred← citeshttps://doi.org/10.1109/access.2025.3597844openalex-snapshot
Harvesting Insights on AI-Driven Technologies in Modern Agriculture: A Systematic Literature Review
inferred← citeshttps://doi.org/10.1109/aimv66517.2025.11203452openalex-snapshot
A Hybrid Intrusion Detection Framework for Hypervisor-Based MitM Attack Detection in Medical Cyber-Physical Systems: Leveraging PCA, Anomaly Detection, and KNN
inferred← citeshttps://doi.org/10.1109/bigdata62323.2024.10825128openalex-snapshot
A Lightweight Edge-CNN-Transformer Model for Detecting Coordinated Cyber and Digital Twin Attacks in Cooperative Smart Farming
inferred← citeshttps://doi.org/10.1109/cars67163.2025.11337944openalex-snapshot
A Hybrid Deep Learning and Quantum Feature Selection Framework for Multi-Class Intrusion Detection
inferred← citeshttps://doi.org/10.1109/cictn64563.2025.10932460openalex-snapshot
Next-Generation IoT Intrusion Detection: Leveraging Hybrid Deep Learning Algorithms for Enhanced Security
inferred← citeshttps://doi.org/10.1109/coins54846.2022.9854947openalex-snapshot
GANIBOT: A Network Flow Based Semi Supervised Generative Adversarial Networks Model for IoT Botnets Detection
inferred← citeshttps://doi.org/10.1109/colcom62950.2024.10720307openalex-snapshot
Proposal for a model of smart agriculture based on the application of ancestral knowledge in the cultivation of medicinal plants
inferred← citeshttps://doi.org/10.1109/commnet60167.2023.10365311openalex-snapshot
Security of digital agriculture networks: A review and bibliometric analysis
inferred← citeshttps://doi.org/10.1109/csp55486.2022.00020openalex-snapshot
IoTProtect: A Machine-Learning Based IoT Intrusion Detection System
inferred← citeshttps://doi.org/10.1109/easct59475.2023.10393440openalex-snapshot
A Two-Layer Dimension Reduction and Two-Tier Classification Model for Anomaly-Based Intrusion Detection In IOT
inferred← citeshttps://doi.org/10.1109/ecai69016.2026.11613641openalex-snapshot
A Survey on Cybersecurity for Smart Agricultural IoT: Challenges, Defences, and Edge Anomaly Detection
inferred← citeshttps://doi.org/10.1109/ecce64574.2025.11013816openalex-snapshot
Intrusion Detection System on IoT Devices via Federated Learning
inferred← citeshttps://doi.org/10.1109/gccit63234.2024.10862960openalex-snapshot
Ultra-Low Energy 5G IoT Devices with Updatable AI Models: A Dynamic AI-IoT Perspectives
inferred← citeshttps://doi.org/10.1109/ginotech63460.2025.11076757openalex-snapshot
Intelligent DDoS Attack Detection in 6G Cloud Networks Using a CNN-GRU Hybrid Model
inferred← citeshttps://doi.org/10.1109/honet59747.2023.10374636openalex-snapshot
Enhancing IoT Attack Detection Through Ensemble-Based Multiclass Attacks Classification
inferred← citeshttps://doi.org/10.1109/ic2nc67409.2025.11376415openalex-snapshot
Multi-Cloud Federated Learning Architecture with Homomorphic Encryption and Differential Privacy for Secure Cyber-Attack Detection
inferred← citeshttps://doi.org/10.1109/ic3i56241.2022.10073271openalex-snapshot
Securing Smart City Networks - Intelligent Detection Of DDoS Cyber Attacks
inferred← citeshttps://doi.org/10.1109/ic3i59117.2023.10398136openalex-snapshot
Double-Edged Agriculture 4.0: Hodiernal Expedient Technologies and Cyber-Security Challenges
inferred← citeshttps://doi.org/10.1109/icaccs57279.2023.10112877openalex-snapshot
Comparative Evaluation on Various Machine Learning Strategies Based on Identification of DDoS Attacks in IoT Environment
inferred← citeshttps://doi.org/10.1109/icacs55311.2023.10089656openalex-snapshot
Experimenting Ensemble Machine Learning for DDoS Classification: Timely Detection of DDoS Using Large Scale Dataset
inferred← citeshttps://doi.org/10.1109/icaisc64594.2025.10959698openalex-snapshot
Reinforcement Learning for Intrusion Detection: Recent Advances and Datasets
inferred← citeshttps://doi.org/10.1109/icast59062.2023.10454909openalex-snapshot
Analysis of DDoS Attacks using Datamining
inferred← citeshttps://doi.org/10.1109/iccad57653.2023.10152349openalex-snapshot
Artificial intelligence-based IoT-enabled biogas production
inferred← citeshttps://doi.org/10.1109/iccies63851.2025.11033061openalex-snapshot
Securing Industry 4.0 with a Deep Learning Driven Framework for Advanced Data Privacy Detection
inferred← citeshttps://doi.org/10.1109/iccubea54992.2022.10011055openalex-snapshot
Reflection based Distributed Denial of Service Attack Detection System
inferred← citeshttps://doi.org/10.1109/iccworkshops59551.2024.10615516openalex-snapshot
Secure Integration of Internet of Things with Cloud Computing Using Optimized Feature Selection and Convolutional Neural Network
inferred← citeshttps://doi.org/10.1109/icdsaai59313.2023.10452429openalex-snapshot
Unveiling the Effectiveness of CNN-based Models for Multiclass DDoS Attack Detection and Classification: A Comparative Analysis
inferred← citeshttps://doi.org/10.1109/icecet65726.2026.11632389openalex-snapshot
IoT Network Cyberattack Detection Performance Using Ensemble Machine Learning Based Intrusion Detection System
inferred← citeshttps://doi.org/10.1109/icercs65898.2025.11580832openalex-snapshot
LSTM-Powered Anomaly Detection for Securing IIoT Systems Against DDoS, Spoofing, and Ransomware Attacks
inferred← citeshttps://doi.org/10.1109/icict57646.2023.10134468openalex-snapshot
Anomaly Detection and Multi-Output Classification of IoT Attacks
inferred← citeshttps://doi.org/10.1109/iciss55894.2022.9915157openalex-snapshot
Comparison of CNN and DNN Performance on Intrusion Detection System
inferred← citeshttps://doi.org/10.1109/icitsif69060.2026.11608878openalex-snapshot
Smart Agriculture for Sustainable Development Goals: Technologies, Challenges, and Opportunities
inferred← citeshttps://doi.org/10.1109/icnpcv69434.2026.11709000openalex-snapshot
An Intelligent Machine Learning Framework for Cyber IoT Network Intrusion Detection System
inferred← citeshttps://doi.org/10.1109/icosec58147.2023.10276277openalex-snapshot
Deep Variational Auto Encoders for Botnet Attack Detection in Industrial Internet of Things
inferred← citeshttps://doi.org/10.1109/icssit55814.2023.10060868openalex-snapshot
Machine Learning and Deep Learning based Intrusion Detection in Cloud Environment: A Review
inferred← citeshttps://doi.org/10.1109/icstcee56972.2022.10099895openalex-snapshot
Retracted: Recent Security Challenges in Agriculture Applications in Smart Agriculture: A Survey
inferred← citeshttps://doi.org/10.1109/ictacs62700.2024.10840903openalex-snapshot
Unified Shield: Ml and Dl Integration Through Ann-Svm for Imbalanced Data
inferred← citeshttps://doi.org/10.1109/ictbig68706.2025.11323639openalex-snapshot
Near-Perfect IoT DDoS Detection on the IoT-DH Honeypot Dataset via Two-Stage Deep-Tree Modeling
inferred← citeshttps://doi.org/10.1109/iemcon53756.2021.9623082openalex-snapshot
A Machine Learning Framework for Intrusion Detection System in IoT Networks Using an Ensemble Feature Selection Method
inferred← citeshttps://doi.org/10.1109/iit59782.2023.10366486openalex-snapshot
Secure IIoT networks with hybrid CNN-GRU model using Edge-IIoTset
inferred← citeshttps://doi.org/10.1109/imc-ssgp63352.2024.10919795openalex-snapshot
Network Attack Detection in the PfSense Firewall via Deep Learning
inferred← citeshttps://doi.org/10.1109/isaect68904.2025.11318724openalex-snapshot
Malware Attack Detection for IoT-Enabled Intelligent Transportation Systems Using Explainable Deep Learning
inferred← citeshttps://doi.org/10.1109/isaiee57420.2022.00109openalex-snapshot
An Intelligent Test Method of Distributed Network Inbreak Based on Cluster Analysis
inferred← citeshttps://doi.org/10.1109/ismode56940.2022.10180421openalex-snapshot
A Comparative Study of Five Machine Learning Algorithms for Anomaly-based IDS
inferred← citeshttps://doi.org/10.1109/istas57930.2023.10306003openalex-snapshot
A Survey on Cyber Security Research in the Field of Agriculture Technology
inferred← citeshttps://doi.org/10.1109/iwcmc55113.2022.9824189openalex-snapshot
A Multi-Classifier for DDoS Attacks Using Stacking Ensemble Deep Neural Network
inferred← citeshttps://doi.org/10.1109/jiot.2023.3236322openalex-snapshot
Machine-Learning-Based UAV-Assisted Agricultural Information Security Architecture and Intrusion Detection
inferred← citeshttps://doi.org/10.1109/jiot.2024.3485208openalex-snapshot
Bc²FL: Double-Layer Blockchain-Driven Federated Learning Framework for Agricultural IoT
inferred← citeshttps://doi.org/10.1109/jiot.2026.3701887openalex-snapshot
Spectral Relational Representation Knowledge Distillation for Intrusion Detection in Smart Supply Chain Systems
inferred← citeshttps://doi.org/10.1109/raeeucci57140.2023.10134161openalex-snapshot
Deep Learning Approach for Intrusion Detection and Mitigation in IoT Environment: A Comprehensive Study
inferred← citeshttps://doi.org/10.1109/saci58269.2023.10158628openalex-snapshot
Deep learning for 5G and 6G
inferred← citeshttps://doi.org/10.1109/tiv.2023.3309548openalex-snapshot
UAV-Assisted IoT Applications, Cybersecurity Threats, AI-Enabled Solutions, Open Challenges With Future Research Directions
inferred← citeshttps://doi.org/10.1109/tnse.2023.3273301openalex-snapshot
An Efficient Hybrid Deep Learning Model for Denial of Service Detection in Cyber Physical Systems
inferred← citeshttps://doi.org/10.1109/tnse.2024.3368048openalex-snapshot
Truncated Lanczos-TSVD: An Effective Dimensionality Reduction Algorithm for Detecting DDoS Attacks in Large-Scale Networks
inferred← citeshttps://doi.org/10.1109/trustcom60117.2023.00196openalex-snapshot
Generating Synthetic Tabular Data for DDoS Detection Using Generative Models
inferred← citeshttps://doi.org/10.1109/uemcon59035.2023.10316154openalex-snapshot
Cybersecurity Challenges and Solutions in IoT-based Precision Farming Systems
inferred← citeshttps://doi.org/10.1109/wac63911.2025.10992302openalex-snapshot
Lightweight Intrusion Detection Systems for IoT-Based Smart Agriculture: A Deep Learning Perspective
inferred← citeshttps://doi.org/10.1109/wpmc55625.2022.10014866openalex-snapshot
Smart LSTM-based IDS for Heterogeneous IoT (HetIoT)
inferred← citeshttps://doi.org/10.1109/zcict55726.2022.10045998openalex-snapshot
Modelling Lanchester Style DDOS Attack and Defense
inferred← citeshttps://doi.org/10.1111/coin.70139openalex-snapshot
Spinalfgnet Based Intrusion Detection for IoT Enabled Smart Irrigation
inferred← citeshttps://doi.org/10.1111/exsy.13726openalex-snapshot
A comprehensive survey on deep learning‐based intrusion detection systems in Internet of Things ( IoT )
inferred← citeshttps://doi.org/10.1142/s0129156425407818openalex-snapshot
The Artificial Intelligence Optimization Model for Urban Smart Farm Crop Cultivation
inferred← citeshttps://doi.org/10.1142/s0219649224500333openalex-snapshot
Rap-Densenet Framework for Network Attack Detection and Classification
inferred← citeshttps://doi.org/10.1142/s1756973724500021openalex-snapshot
An Efficient Intrusion Detection System Using a Multiscale Deep Bi-directional GRU Network to Detect Blackhole Attacks in IoT-based WSNs
inferred← citeshttps://doi.org/10.1145/3586578openalex-snapshot
A Rubik's Cube Cryptosystem-based Authentication and Session Key Generation Model Driven in Blockchain Environment for IoT Security
inferred← citeshttps://doi.org/10.1145/3640824.3640868openalex-snapshot
PCS-ADS: Privacy Computing System for Agricultural Data Security
inferred← citeshttps://doi.org/10.1155/2021/9530274openalex-snapshot
DIAMOND: A Structured Coevolution Feature Optimization Method for LDDoS Detection in SDN‐IoT
inferred← citeshttps://doi.org/10.1155/2022/3747302openalex-snapshot
DI-ADS: A Deep Intelligent Distributed Denial of Service Attack Detection Scheme for Fog-Based IoT Applications
inferred← citeshttps://doi.org/10.1155/2022/5614974openalex-snapshot
Suitability Evaluation of Crop Variety via Graph Neural Network
inferred← citeshttps://doi.org/10.1155/2022/6967938openalex-snapshot
A Deep Intelligent Attack Detection Framework for Fog-Based IoT Systems
inferred← citeshttps://doi.org/10.1177/18761364251359885openalex-snapshot
A hybrid feature selection method for anomaly detection using shallow and deep ANN classifiers in smart farming
inferred← citeshttps://doi.org/10.1186/s40537-025-01329-wopenalex-snapshot
DeepSecure: a novel deep learning model for effective detection of attacks on big data in Internet of Urban Things
inferred← citeshttps://doi.org/10.1371/journal.pone.0278493openalex-snapshot
A novel hybrid optimization enabled robust CNN algorithm for an IoT network intrusion detection approach
inferred← citeshttps://doi.org/10.14445/23488549/ijece-v12i4p114openalex-snapshot
Intelligent Detection of Distributed Denial-of-Service Attacks in Cloud Platforms Using the Osprey Optimized Dense-SEQNET Architecture
inferred← citeshttps://doi.org/10.14569/ijacsa.2021.0121023openalex-snapshot
A Meta-analytic Review of Intelligent Intrusion Detection Techniques in Cloud Computing Environment
inferred← citeshttps://doi.org/10.18267/j.aip.199openalex-snapshot
Efficient Machine Learning Model for DDoS Detection System Based on Dimensionality Reduction
inferred← citeshttps://doi.org/10.18280/ijsse.130313openalex-snapshot
Enhanced SVM Model with Orthogonal Learning Chaotic Grey Wolf Optimization for Cybersecurity Intrusion Detection in Agriculture 4.0
inferred← citeshttps://doi.org/10.21015/vtess.v15i3.976openalex-snapshot
Classification of Citrus Canker and Black Spot Diseases using a Deep Learning based Approach
inferred← citeshttps://doi.org/10.21203/rs.3.rs-1840953/v1openalex-snapshot
A Novel MWKF-LSTM Based Intrusion Detection System for the IoT-Cloud Platform with Efficient User Authentication and Data Encryption Models
inferred← citeshttps://doi.org/10.21608/dusj.2022.275552openalex-snapshot
IoT Based Intrusion Detection Systems from The Perspective of Machine and Deep Learning: A Survey and Comparative Study
inferred← citeshttps://doi.org/10.22266/ijies2023.1031.61openalex-snapshot
Enhanced PSO Algorithm for Detecting DRDoS Attacks on LDAP Servers
inferred← citeshttps://doi.org/10.24012/dumf.1421337openalex-snapshot
DoS and DDoS Attacks on Internet of Things and Their Detection by Machine Learning Algorithms
inferred← citeshttps://doi.org/10.2478/ijssis-2024-0040openalex-snapshot
Advancing DDoS attack detection with hybrid deep learning: integrating convolutional neural networks, PCA, and vision transformers
inferred← citeshttps://doi.org/10.24874/pes.si.01.008openalex-snapshot
RESEARCH ON IIOT SECURITY: NOVEL MACHINE LEARNING-BASED INTRUSION DETECTION USING TCP/IP PACKETS
inferred← citeshttps://doi.org/10.29121/web/v18i3/136openalex-snapshot
Barriers to Adopting Distributed Online Attack Detection Based On Blockchain for Web Application Vulnerabilities
inferred← citeshttps://doi.org/10.31185/wjps.136openalex-snapshot
IoT Cybersecurity Threats and Detection Mechanisms: A Review
inferred← citeshttps://doi.org/10.31893/multiscience.2025ss0112openalex-snapshot
Recognizing attack indicators in IoT with an innovative machine learning approach
inferred← citeshttps://doi.org/10.3233/jcm-247183openalex-snapshot
Construction of English corpus oral instant translation model based on internet of things and deep learning of information security
inferred← citeshttps://doi.org/10.3233/jifs-221873openalex-snapshot
A novel deep learning based intrusion detection system for the IoT-Cloud platform with blockchain and data encryption mechanisms
inferred← citeshttps://doi.org/10.3233/jifs-224149openalex-snapshot
Novel deep learning approach for DDoS attack using elephant heard optimization algorithm along with a fuzzy classifier for rules learning
inferred← citeshttps://doi.org/10.3233/jifs-233649openalex-snapshot
Smart intrusion detection system with balanced data in IoMT infra
showing the first 200 of 253 · page through all 253
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.