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References from Comparative evaluation of a novel IDS dataset for SDN-IoT using deep learning models against InSDN, BoT-IoT, and ToN-IoT. Local targets link to admitted publications; unresolved targets remain external evidence.
Security of topology discovery service in SDN: vulnerabilities and countermeasures
10.1109/ojcoms.2024.3406489 · 2024 · External reference
Fog orchestration for internet of things services
10.1109/mic.2017.36 · 2017 · External reference
A hybrid scheme based on big data analytics using intrusion Detection System
10.17485/ijst/2016/v9i33/97037 · 2016 · External reference
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InSDN: a novel SDN intrusion dataset
10.1109/access.2020.3022633 · 2020 · External reference
Designing a network intrusion detection system based on machine learning for software defined networks
10.3390/fi13050111 · 2021 · External reference
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A novel hybrid model for intrusion detection systems in SDNs based on CNN and a new regularization technique
10.1016/j.jnca.2021.103160 · 2021 · External reference
Performance evaluation of SDN DDoS attack detection and mitigation based random forest and K-nearest neighbors machine learning algorithms
10.18280/ria.360207 · 2022 · External reference
Deep learning algorithms for intrusion detection systems in internet of things using CIC-IDS 2017 dataset
10.11591/ijece.v13i1.pp1134-1141 · 2023 · External reference
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10.3390/info14010041
10.3390/info14010041 · External reference
Low rate DDoS detection using weighted federated learning in SDN control plane in IoT network
10.3390/app13031431 · 2023 · External reference
Federated learning for privacy-preserving intrusion detection in software-defined networks
10.1109/access.2024.3395997 · 2024 · External reference
Federated learning-based security attack detection for multi-controller software-defined networks
10.3390/a17070290 · 2024 · External reference
A collaborative software defined network-based smart grid intrusion detection system
10.1109/ojcoms.2024.3351088 · 2024 · External reference
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2025 · External reference
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Edge-IIoTset: a new comprehensive realistic cyber security dataset of IoT and IIoT applications for centralized and federated learning
10.1109/access.2022.3165809 · 2022 · External reference
Toward generating a new intrusion detection dataset and intrusion traffic characterization
2018 · External reference
Anomaly-based network intrusion detection: techniques, systems and challenges
10.1016/j.cose.2008.08.003 · 2009 · External reference
Detecting DDoS threats using supervised machine learning for traffic classification in software defined networking
10.1109/access.2024.3486034 · 2024 · External reference
Application of SNORT and wireshark in network traffic analysis
10.1088/1757-899x/1119/1/012007 · 2021 · External reference
Distributed denial of service attacks and defense mechanisms: current landscape and future directions
2018 · External reference
A study on Metasploit Framework: a pen-testing tool
2020 · External reference
Evaluating federated Learning for intrusion detection in Internet of Things: review and challenges
10.1016/j.comnet.2021.108661 · 2022 · External reference
A systematic literature review for network intrusion detection system (IDS)
10.1007/s10207-023-00682-2 · 2023 · External reference
FELIDS: federated learning-based intrusion detection system for agricultural Internet of Things
10.1016/j.jpdc.2022.03.003 · 2022 · External reference
FL-IDS: federated learning-based intrusion detection system using edge devices for transportation IoT
10.1109/access.2024.3386631 · 2024 · External reference
Federated learning-based solution for DDoS detection in SDN
2024 · External reference
An intrusion detection model based on feature reduction and convolutional neural networks
10.1109/access.2019.2904620 · 2019 · External reference
10.3390/electronics9060916
10.3390/electronics9060916 · External reference
A network intrusion detection method based on semantic re-encoding and deep learning
10.1016/j.jnca.2020.102688 · 2020 · External reference
Genetic convolutional neural network for intrusion detection systems
10.1016/j.future.2020.07.042 · 2020 · External reference
LIO-IDS: handling class imbalance using LSTM and improved one-vs-one technique in intrusion detection system
10.1016/j.comnet.2021.108076 · 2021 · External reference
Network intrusion Detection System using Deep Learning
10.1016/j.procs.2021.05.025 · 2021 · External reference
An unsupervised deep learning model for early network traffic anomaly detection
10.1109/access.2020.2973023 · 2020 · External reference
Dew-cloud-based hierarchical federated learning for intrusion detection in IoMT
10.1109/jbhi.2022.3186250 · 2023 · External reference
Securing the internet of Health things: embedded federated learning-driven long short-term memory for cyberattack detection
2024 · External reference
Secure and privacy-preserving intrusion detection in wireless sensor networks: federated learning with SCNN-Bi-LSTM for enhanced reliability
10.1016/j.adhoc.2024.103407 · 2024 · External reference
SDN-based intrusion detection system for IoT using deep learning classifier (IDSIoT-SDL)
10.1049/cit2.12003 · 2021 · External reference
Securing IoT and SDN systems using deep-learning based automatic intrusion detection
10.1016/j.asej.2023.102211 · 2023 · External reference
A novel bidirectional LSTM model for network intrusion detection in SDN-IoT network
10.1007/s00607-024-01295-w · 2024 · External reference
Model of the intrusion detection system based on the integration of spatial-temporal features
10.1016/j.cose.2019.101681 · 2020 · External reference
Network intrusion detection combined hybrid sampling with deep hierarchical Network
10.1109/access.2020.2973730 · 2020 · External reference
Unified Deep learning approach for efficient intrusion detection system using integrated spatial–Temporal features
2021 · External reference
Intrusion detection for network based cloud computing by custom RC-NN and optimization
10.1016/j.icte.2021.04.006 · 2021 · External reference
DeepIDPS: an adaptive DRL-based intrusion detection and prevention system for SDN
2024 · External reference
A novel random neural network based approach for intrusion detection systems
2019 · External reference
Intrusion detection in sdn-based networks: deep recurrent neural network approach
10.1007/978-3-030-13057-2_8 · 2019 · External reference
Evolving deep learning architectures for network intrusion detection using a double PSO metaheuristic
10.1016/j.comnet.2019.107042 · 2020 · External reference
A hybrid intrusion Detection system based on sparse autoencoder and Deep Neural Network
10.1016/j.comcom.2021.08.026 · 2021 · External reference
An efficient XGBoost–DNN-based classification model for network intrusion detection system
10.1007/s00521-020-04708-x · 2020 · External reference
Improving the classification effectiveness of intrusion detection by using improved conditional variational AutoEncoder and deep neural network
10.3390/s19112528 · 2019 · External reference
10.1109/cits.2019.8862098
10.1109/cits.2019.8862098 · External reference
Comparison of ML/DL approaches for detecting DDoS attacks in SDN
2023 · External reference
Intelligent congestion control of 5G traffic in SDN using dual-spike neural network
10.31026/j.eng.2023.01.07 · 2023 · External reference
A closer look at classification evaluation metrics and a critical reflection of common evaluation practice
10.1162/tacl_a_00675 · 2024 · External reference
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The real-world-weight cross-entropy loss function: modeling the costs of mislabeling
10.1109/access.2019.2962617 · 2020 · External reference
