On the public citation graph
A federated learning method for network intrusion detection
0 signed · 123 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known work and none has been retracted — and get a dated CiteStamped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/10.1002/cpe.5182openalex-snapshot
Image encryption based on a single‐round dictionary and chaotic sequences in cloud computing
inferredcites →https://doi.org/10.1002/cpe.5464openalex-snapshot
A Gaussian error correction multi‐objective positioning model with NSGA‐II
inferredcites →https://doi.org/10.1002/cpe.5478openalex-snapshot
An under‐sampled software defect prediction method based on hybrid multi‐objective cuckoo search
inferredcites →https://doi.org/10.1007/978-3-030-25109-3_9openalex-snapshot
A Detailed Analysis of the CICIDS2017 Data Set
inferredcites →https://doi.org/10.1007/s00607-014-0413-xopenalex-snapshot
Weighted principal component analysis-based service selection method for multimedia services in cloud
inferredcites →https://doi.org/10.1007/s10586-017-1117-8openalex-snapshot
A survey of deep learning-based network anomaly detection
inferredcites →https://doi.org/10.1007/s11042-020-08724-wopenalex-snapshot
Design of Multimedia Education Network Security and Intrusion Detection System
inferredcites →https://doi.org/10.1016/j.cose.2020.102033openalex-snapshot
A trusted feature aggregator federated learning for distributed malicious attack detection
inferredcites →https://doi.org/10.1016/j.cose.2020.102151openalex-snapshot
RNNIDS: Enhancing network intrusion detection systems through deep learning
inferredcites →https://doi.org/10.1016/j.cose.2021.102177openalex-snapshot
Intrusion detection methods based on integrated deep learning model
inferredcites →https://doi.org/10.1016/j.elerap.2021.101060openalex-snapshot
A novel POI recommendation method based on trust relationship and spatial–temporal factors
inferredcites →https://doi.org/10.1016/j.future.2019.02.060openalex-snapshot
Privacy preservation in blockchain based IoT systems: Integration issues, prospects, challenges, and future research directions
inferredcites →https://doi.org/10.1016/j.ipm.2018.02.005openalex-snapshot
A novel recommendation method based on social network using matrix factorization technique
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.knosys.2019.03.032openalex-snapshot
A big-data oriented recommendation method based on multi-objective optimization
inferredcites →https://doi.org/10.1016/j.phycom.2020.101157openalex-snapshot
Intelligent intrusion detection based on federated learning aided long short-term memory
inferredcites →https://doi.org/10.1109/cisda.2009.5356528openalex-snapshot
A detailed analysis of the KDD CUP 99 data set
inferredcites →https://doi.org/10.1109/comst.2019.2944748openalex-snapshot
Differential Privacy Techniques for Cyber Physical Systems: A Survey
inferredcites →https://doi.org/10.1109/icacci.2017.8126009openalex-snapshot
Applying convolutional neural network for network intrusion detection
inferredcites →https://doi.org/10.1109/iccv.2017.97openalex-snapshot
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era
inferredcites →https://doi.org/10.1109/icdcs.2019.00080openalex-snapshot
DÏoT: A Federated Self-learning Anomaly Detection System for IoT
inferredcites →https://doi.org/10.1109/jiot.2020.3030072openalex-snapshot
A Survey on Federated Learning: The Journey From Centralized to Distributed On-Site Learning and Beyond
inferredcites →https://doi.org/10.1109/jiot.2020.3040019openalex-snapshot
A Multicloud-Model-Based Many-Objective Intelligent Algorithm for Efficient Task Scheduling in Internet of Things
inferredcites →https://doi.org/10.1109/jiot.2021.3056578openalex-snapshot
A New Subspace Clustering Strategy for AI-Based Data Analysis in IoT System
inferredcites →https://doi.org/10.1109/jsac.2020.3000372openalex-snapshot
Analyzing User-Level Privacy Attack Against Federated Learning
inferredcites →https://doi.org/10.1109/lsens.2018.2879990openalex-snapshot
Deep and Machine Learning Approaches for Anomaly-Based Intrusion Detection of Imbalanced Network Traffic
inferredcites →https://doi.org/10.1109/mnet.011.2000331openalex-snapshot
Malicious Code Detection under 5G HetNets Based on a Multi-Objective RBM Model
inferredcites →https://doi.org/10.1109/secpri.1988.8098openalex-snapshot
A prototype real-time intrusion-detection expert system
inferredcites →https://doi.org/10.1109/tetci.2017.2772792openalex-snapshot
A Deep Learning Approach to Network Intrusion Detection
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/tsc.2019.2947471openalex-snapshot
DEAL: Differentially Private Auction for Blockchain based Microgrids Energy Trading
inferredcites →https://doi.org/10.1109/tsc.2020.2964537openalex-snapshot
A Hybrid BlockChain-Based Identity Authentication Scheme for Multi-WSN
inferredcites →https://doi.org/10.1109/tsc.2020.2964552openalex-snapshot
Personalized Recommendation System Based on Collaborative Filtering for IoT Scenarios
inferredcites →https://doi.org/10.1504/ijbic.2020.108995openalex-snapshot
A privacy-preserving recommendation method based on multi-objective optimisation for mobile users
inferredcites →https://doi.org/10.1504/ijmc.2022.123794openalex-snapshot
Understanding the adoption of mobile social payment: from the cognitive behavioural perspective
inferredcites →https://doi.org/10.2147/prbm.s303239openalex-snapshot
Understanding the Relationship Between Tourists’ Consumption Behavior and Their Consumption Substitution Willingness Under Unusual Environment
inferredcites →https://doi.org/10.3115/v1/d14-1179openalex-snapshot
Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
inferredcites →https://doi.org/10.3390/ijerph18179037openalex-snapshot
Exploring an Efficient Remote Biomedical Signal Monitoring Framework for Personal Health in the COVID-19 Pandemic
inferredcites →https://doi.org/10.3390/math9212673openalex-snapshot
Exploring an Efficient POI Recommendation Model Based on User Characteristics and Spatial-Temporal Factors
inferredcites →https://doi.org/10.35940/ijrte.c4587.098319openalex-snapshot
Implementation of Machine Learning Algorithms on CICIDS-2017 Dataset for Intrusion Detection using WEKA
inferredcites →https://doi.org/10.48550/arxiv.1204.5592openalex-snapshot
Dynamic and Auto Responsive Solution for Distributed Denial-of-Service Attacks Detection in ISP Network
inferredcites →https://doi.org/10.5120/ijca2015907650openalex-snapshot
Behavior Rule Specification-based Intrusion Detection for Safety Critical Medical Cyber Physical Systems : A Review
inferredcites →https://doi.org/10.6633/ijns.200509.1(2).05openalex-snapshot
RESEARCH ON INTRUSION DETECTION AND RESPONSE: A SURVEY
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/cpe.70048openalex-snapshot
CGKDFL: A Federated Learning Approach Based on Client Clustering and Generator‐Based Knowledge Distillation for Heterogeneous Data
inferred← citeshttps://doi.org/10.1002/spe.3319openalex-snapshot
Blockchain and explainable AI for enhanced decision making in cyber threat detection
inferred← citeshttps://doi.org/10.1007/978-3-031-82907-9_7openalex-snapshot
An Improved Federated Learning Intrusion Detection with Collaborative Feature Selection on CICIDS 2017
inferred← citeshttps://doi.org/10.1007/978-981-95-0140-3_40openalex-snapshot
Network Intrusion Detection System Using Ensemble Machine Learning Model
inferred← citeshttps://doi.org/10.1007/978-981-95-8417-8_7openalex-snapshot
FLIDS-Mamba: Multi-Center Network Intrusion Detection Based on Federated Learning and Bidirectional State Space Model
inferred← citeshttps://doi.org/10.1007/978-981-96-6906-6_1openalex-snapshot
A Federated Learning Approach for Intrusion Detection in Internet of Things Using Category Boosting Algorithms and Deep Learning Techniques
inferred← citeshttps://doi.org/10.1007/978-981-96-9958-2_24openalex-snapshot
A Communication-Efficient Federated Contrastive Learning Framework for Intrusion Detection
inferred← citeshttps://doi.org/10.1007/978-981-99-3878-0_55openalex-snapshot
Use Case Scenario in Federated Learning-Based Intrusion Detection Systems
inferred← citeshttps://doi.org/10.1007/s00521-023-08561-6openalex-snapshot
Cortex-inspired ensemble based network intrusion detection system
inferred← citeshttps://doi.org/10.1007/s10462-026-11519-4openalex-snapshot
A survey of privacy-preserving federated learning for intrusion detection systems
inferred← citeshttps://doi.org/10.1007/s10586-023-04234-0openalex-snapshot
Streaming traffic classification: a hybrid deep learning and big data approach
inferred← citeshttps://doi.org/10.1007/s10586-026-06286-4openalex-snapshot
A review of federated learning: architectures, challenges, and targeted solutions
inferred← citeshttps://doi.org/10.1007/s10922-026-10049-2openalex-snapshot
Evaluating Cross-Domain Generalisation of Deep Learning Models in Network Traffic Classification: A Statistical and Experimental Analysis of VNF and PNF
inferred← citeshttps://doi.org/10.1007/s11227-022-04633-xopenalex-snapshot
A convolutional neural network intrusion detection method based on data imbalance
inferred← citeshttps://doi.org/10.1007/s11227-024-06737-yopenalex-snapshot
High-precision intrusion detection for cybersecurity communications based on multi-scale convolutional neural networks
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/s11280-023-01208-5openalex-snapshot
An effective method for the protection of user health topic privacy for health information services
inferred← citeshttps://doi.org/10.1007/s12243-026-01188-3openalex-snapshot
Tamper-resistant contribution evaluation in privacy-preserving federated learning networks
inferred← citeshttps://doi.org/10.1007/s13042-022-01647-yopenalex-snapshot
A survey on federated learning: challenges and applications
inferred← citeshttps://doi.org/10.1007/s13748-025-00376-xopenalex-snapshot
Exploring federated learning trends: a bibliometric analysis and Word2Vec NLP approach
inferred← citeshttps://doi.org/10.1007/s41870-025-02989-wopenalex-snapshot
Intruder Detection in Driverless Cars Using Collaborated Learning with Self-Attention Mechanism and Long Short-Term Memory Architecture
inferred← citeshttps://doi.org/10.1016/j.cose.2023.103106openalex-snapshot
Generalizing intrusion detection for heterogeneous networks: A stacked-unsupervised federated learning approach
inferred← citeshttps://doi.org/10.1016/j.cosrev.2024.100717openalex-snapshot
A comprehensive survey of Federated Intrusion Detection Systems: Techniques, challenges and solutions
inferred← citeshttps://doi.org/10.1016/j.csbj.2025.06.009openalex-snapshot
Revolutionizing healthcare data analytics with federated learning: A comprehensive survey of applications, systems, and future directions
inferred← citeshttps://doi.org/10.1016/j.icte.2025.02.012openalex-snapshot
Distributed optimization for IoT attack detection using federated learning and Siberian Tiger optimizer
inferred← citeshttps://doi.org/10.1016/j.jnca.2023.103637openalex-snapshot
Intelligent approaches toward intrusion detection systems for Industrial Internet of Things: A systematic comprehensive review
inferred← citeshttps://doi.org/10.1016/j.pmcj.2022.101738openalex-snapshot
PPSS: A privacy-preserving secure framework using blockchain-enabled federated deep learning for Industrial IoTs
inferred← citeshttps://doi.org/10.1016/j.procs.2025.04.084openalex-snapshot
Advancements in Cybersecurity: A Comprehensive Survey of AI-Driven Solutions
inferred← citeshttps://doi.org/10.1063/5.0208470openalex-snapshot
A survey of deep learning models, datasets, and applications for cyber attack detection
inferred← citeshttps://doi.org/10.1093/comjnl/bxad078openalex-snapshot
FedEVCP: Federated Learning-Based Anomalies Detection for Electric Vehicle Charging Pile
inferred← citeshttps://doi.org/10.1109/access.2022.3214506openalex-snapshot
Application of Artificial Intelligence to Network Forensics: Survey, Challenges and Future Directions
inferred← citeshttps://doi.org/10.1109/bigdatasecurity66063.2025.00027openalex-snapshot
A Distributed Intrusion Detection System based on Blockchain and Federated Learning
inferred← citeshttps://doi.org/10.1109/bmsb58369.2023.10211175openalex-snapshot
A Machine Learning Based Computing Node Selection Algorithm
inferred← citeshttps://doi.org/10.1109/brains63024.2024.10732472openalex-snapshot
BlockFed: A Novel Federated Learning Framework Based On Hierarchical Aggregation
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/csce60160.2023.00024openalex-snapshot
Performance Evaluation of Federated Learning for Anomaly Network Detection
inferred← citeshttps://doi.org/10.1109/cvpr52733.2024.01180openalex-snapshot
Collaborative Learning of Anomalies with Privacy (CLAP) for Unsupervised Video Anomaly Detection: A New Baseline
inferred← citeshttps://doi.org/10.1109/cybercom63683.2024.10803128openalex-snapshot
Privacy Preservation of EHR Datasets Using Deep Learning Techniques
inferred← citeshttps://doi.org/10.1109/cyberscitech68397.2025.00019openalex-snapshot
XAI-based Customer Behavior Analysis for Network Intrusion Detection in Edge Intelligence
inferred← citeshttps://doi.org/10.1109/globecom52923.2024.10901822openalex-snapshot
All Predict Cost Efficient Decides: A New Cost-Centric Ensemble Learning Method for Network Intrusions Detection
inferred← citeshttps://doi.org/10.1109/ic-cgu67042.2025.11337982openalex-snapshot
Decentralized Anomaly Detection in IoT Networks Using Federated Learning Models
inferred← citeshttps://doi.org/10.1109/icassp49660.2025.10889171openalex-snapshot
A Federated Learning Network Intrusion Detection System for Multiple Imbalances
inferred← citeshttps://doi.org/10.1109/icicis58388.2023.10391151openalex-snapshot
Evaluation of Centralized, Distributed and Federated Learning for IoT Intrusion Detection Systems
inferred← citeshttps://doi.org/10.1109/icirca54612.2022.9985524openalex-snapshot
DDoSNet: A Deep Learning Model for detecting Network Attacks in Cloud Computing
inferred← citeshttps://doi.org/10.1109/icmla58977.2023.00038openalex-snapshot
Federated Learning for Network Anomaly Detection in a Distributed Industrial Environment
inferred← citeshttps://doi.org/10.1109/imcec66174.2025.11332222openalex-snapshot
EN-DPFed: Internet of Things Malicious Traffic Detection Framework Based on Federated Learning and Homomorphic Encryption
inferred← citeshttps://doi.org/10.1109/jiot.2025.3553194openalex-snapshot
Exploring and Enhancing Placement of IDS in RPL: A Federated Learning-Based Approach
inferred← citeshttps://doi.org/10.1109/sceecs61402.2024.10482198openalex-snapshot
Exploring A Two-Phase Deep Learning Framework For Network Intrusion Detection
inferred← citeshttps://doi.org/10.1109/tnsm.2026.3675031openalex-snapshot
A Federated and Incremental Network Intrusion Detection System for IoT Emerging Threats
inferred← citeshttps://doi.org/10.1142/s0218126623502675openalex-snapshot
Track Signal Intrusion Detection Method Based on Deep Learning in Cloud-Edge Collaborative Computing Environment
inferred← citeshttps://doi.org/10.1142/s0218126624500488openalex-snapshot
NIDS-FLGDP: Network Intrusion Detection Algorithm Based on Gaussian Differential Privacy Federated Learning
inferred← citeshttps://doi.org/10.1145/3584714.3584715openalex-snapshot
Anomaly detection of traffic session based on graph neural network
inferred← citeshttps://doi.org/10.1145/3701717.3730545openalex-snapshot
BlockFed: A Novel Federated Learning Framework Based On Hierarchical Weighted Aggregation
inferred← citeshttps://doi.org/10.1145/3731596openalex-snapshot
Intrusion Detection Based on Federated Learning: A Systematic Review
inferred← citeshttps://doi.org/10.1155/2023/2956990openalex-snapshot
Efficient Privacy‐Preserving Federated Deep Learning for Network Intrusion of Industrial IoT
inferred← citeshttps://doi.org/10.1155/2023/8658278openalex-snapshot
AI-Enabled Learning Architecture Using Network Traffic Traces over IoT Network: A Comprehensive Review
inferred← citeshttps://doi.org/10.1155/2024/5536615openalex-snapshot
Intrusion Detection Model for Wireless Sensor Networks Based on FedAvg and XGBoost Algorithm
inferred← citeshttps://doi.org/10.1186/s13638-023-02279-8openalex-snapshot
RETRACTED ARTICLE: Fusion of transformer and ML-CNN-BiLSTM for network intrusion detection
inferred← citeshttps://doi.org/10.18280/isi.280420openalex-snapshot
Employing Hybrid ANOVA-RFE with Machine and Deep Learning Models for Enhanced IoT and IIoT Attack Detection and Classification
inferred← citeshttps://doi.org/10.21203/rs.3.rs-3350992/v1openalex-snapshot
Network Intrusion Detection Empowered with Federated Machine Learning
inferred← citeshttps://doi.org/10.21203/rs.3.rs-3958165/v1openalex-snapshot
FedIoTect: Federated Machine Learning for Collaborative Internet of Things Threat Detection
inferred← citeshttps://doi.org/10.2147/rmhp.s350275openalex-snapshot
Data-Driven Dynamic Adjustment and Optimization Model of Emergency Logistics Network in Public Health
inferred← citeshttps://doi.org/10.21608/ijicis.2024.262382.1315openalex-snapshot
Federated Learning Enabled IDS for Internet of Things on non-IID Data
inferred← citeshttps://doi.org/10.26599/bdma.2022.9020046openalex-snapshot
Elastic Optimization for Stragglers in Edge Federated Learning
inferred← citeshttps://doi.org/10.32604/cmc.2024.048431openalex-snapshot
A New Solution to Intrusion Detection Systems Based on Improved Federated-Learning Chain
inferred← citeshttps://doi.org/10.32985/ijeces.14.4.6openalex-snapshot
An Effective Deep Learning Based Multi-Class Classification of DoS and DDoS Attack Detection
inferred← citeshttps://doi.org/10.3389/fpsyg.2022.798526openalex-snapshot
Occupational Stigma Perception, Emotional Exhaustion State, and Professional Commitment Response: Understanding the Mechanisms Underlying Hotel Interns’ Perceptions of Career Prospects
inferred← citeshttps://doi.org/10.3389/fpsyg.2024.1417260openalex-snapshot
Positive psychology and employee adaptive performance: systematic literature review
inferred← citeshttps://doi.org/10.3389/fpubh.2021.788475openalex-snapshot
Online Rumor Diffusion Model Based on Variation and Silence Phenomenon in the Context of COVID-19
inferred← citeshttps://doi.org/10.3390/axioms11010017openalex-snapshot
An Improved Evaluation Methodology for Mining Association Rules
inferred← citeshttps://doi.org/10.3390/computers13110277openalex-snapshot
Balancing Privacy and Performance: A Differential Privacy Approach in Federated Learning
inferred← citeshttps://doi.org/10.3390/computers14030082openalex-snapshot
Ensemble Learning for Network Intrusion Detection Based on Correlation and Embedded Feature Selection Techniques
inferred← citeshttps://doi.org/10.3390/electronics14020231openalex-snapshot
An Improved Binary Simulated Annealing Algorithm and TPE-FL-LightGBM for Fast Network Intrusion Detection
inferred← citeshttps://doi.org/10.3390/fi17090409openalex-snapshot
Survey of Federated Learning for Cyber Threat Intelligence in Industrial IoT: Techniques, Applications and Deployment Models
inferred← citeshttps://doi.org/10.3390/network3010008openalex-snapshot
A Federated Learning-Based Approach for Improving Intrusion Detection in Industrial Internet of Things Networks
inferred← citeshttps://doi.org/10.3390/s23010321openalex-snapshot
Customised Intrusion Detection for an Industrial IoT Heterogeneous Network Based on Machine Learning Algorithms Called FTL-CID
inferred← citeshttps://doi.org/10.3390/s24124002openalex-snapshot
Improved Intrusion Detection Based on Hybrid Deep Learning Models and Federated Learning
inferred← citeshttps://doi.org/10.4018/ijaci.318135openalex-snapshot
Network Communication and Electronic Control Strategy of New Energy Vehicles Based on Cloud Platform in the IoT Environment
inferred← citeshttps://doi.org/10.4018/ijitsa.319737openalex-snapshot
A Network Intrusion Detection Method Based on Improved Bi-LSTM in Internet of Things Environment
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.