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A Review of Machine Learning and Transfer Learning Strategies for Intrusion Detection Systems in 5G and Beyond
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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-030-75075-6_47openalex-snapshot
The Novel System of Attacks Detection in 5G
inferredcites →https://doi.org/10.1007/978-3-030-87049-2_25openalex-snapshot
Malware Forensics: Legacy Solutions, Recent Advances, and Future Challenges
inferredcites →https://doi.org/10.1007/978-981-99-6544-1_32openalex-snapshot
Critical Analysis of 5G Networks’ Traffic Intrusion Using PCA, t-SNE, and UMAP Visualization and Classifying Attacks
inferredcites →https://doi.org/10.1007/s00521-021-06093-5openalex-snapshot
An effective NIDS framework based on a comprehensive survey of feature optimization and classification techniques
inferredcites →https://doi.org/10.1007/s00779-023-01785-2openalex-snapshot
DDoS attack traffic classification in SDN using deep learning
inferredcites →https://doi.org/10.1007/s10207-020-00531-6openalex-snapshot
Novel trust-aware intrusion detection and prevention system for 5G MANET–Cloud
inferredcites →https://doi.org/10.1007/s10586-021-03238-yopenalex-snapshot
A flow-based intrusion detection framework for internet of things networks
inferredcites →https://doi.org/10.1007/s11107-022-00991-xopenalex-snapshot
OTN-over-WDM optimization in 5G networks: key challenges and innovation opportunities
inferredcites →https://doi.org/10.1007/s11227-024-05994-1openalex-snapshot
Intrusion detection system: a deep neural network-based concatenated approach
inferredcites →https://doi.org/10.1007/s12652-020-01974-4openalex-snapshot
The multi-demeanor fusion based robust intrusion detection system for anomaly and misuse detection in computer networks
inferredcites →https://doi.org/10.1007/s13042-021-01415-4openalex-snapshot
Deep transfer learning-based network traffic classification for scarce dataset in 5G IoT systems
inferredcites →https://doi.org/10.1007/s13042-024-02332-yopenalex-snapshot
5G-SIID: an intelligent hybrid DDoS intrusion detector for 5G IoT networks
inferredcites →https://doi.org/10.1007/s13369-022-07412-1openalex-snapshot
Intrusion Detection Systems: A State-of-the-Art Taxonomy and Survey
inferredcites →https://doi.org/10.1007/s40860-020-00126-xopenalex-snapshot
A smart anomaly-based intrusion detection system for the Internet of Things (IoT) network using GWO–PSO–RF model
inferredcites →https://doi.org/10.1007/s41870-023-01469-3openalex-snapshot
Machine learning assisted snort and zeek in detecting DDoS attacks in software-defined networking
inferredcites →https://doi.org/10.1007/s42979-021-00592-xopenalex-snapshot
Machine Learning: Algorithms, Real-World Applications and Research Directions
inferredcites →https://doi.org/10.1016/j.adhoc.2024.103674openalex-snapshot
A privacy-preserving Self-Supervised Learning-based intrusion detection system for 5G-V2X networks
inferredcites →https://doi.org/10.1016/j.asoc.2019.105524openalex-snapshot
Investigating the impact of data normalization on classification performance
inferredcites →https://doi.org/10.1016/j.comcom.2024.107927openalex-snapshot
DTL-5G: Deep transfer learning-based DDoS attack detection in 5G and beyond networks
inferredcites →https://doi.org/10.1016/j.comnet.2020.107417openalex-snapshot
Hybrid approach to intrusion detection in fog-based IoT environments
inferredcites →https://doi.org/10.1016/j.cose.2024.103982openalex-snapshot
AIS-NIDS: An intelligent and self-sustaining network intrusion detection system
inferredcites →https://doi.org/10.1016/j.cose.2024.104308openalex-snapshot
Strengthening cybersecurity: TestCloudIDS dataset and SparkShield algorithm for robust threat detection
inferredcites →https://doi.org/10.1016/j.csa.2023.100033openalex-snapshot
Enhancing intrusion detection systems through dimensionality reduction: A comparative study of machine learning techniques for cyber security
inferredcites →https://doi.org/10.1016/j.dsm.2024.08.001openalex-snapshot
Effects of feature selection and normalization on network intrusion detection
inferredcites →https://doi.org/10.1016/j.engappai.2021.104216openalex-snapshot
Supervised feature selection techniques in network intrusion detection: A critical review
inferredcites →https://doi.org/10.1016/j.eswa.2020.114060openalex-snapshot
Machine learning and data mining in manufacturing
inferredcites →https://doi.org/10.1016/j.eswa.2023.120715openalex-snapshot
An empirical study of pattern leakage impact during data preprocessing on machine learning-based intrusion detection models reliability
inferredcites →https://doi.org/10.1016/j.eswa.2023.121751openalex-snapshot
Explainable artificial intelligence for intrusion detection in IoT networks: A deep learning based approach
inferredcites →https://doi.org/10.1016/j.inffus.2022.09.026openalex-snapshot
Fusion of statistical importance for feature selection in Deep Neural Network-based Intrusion Detection System
inferredcites →https://doi.org/10.1016/j.jisa.2023.103689openalex-snapshot
Benchmarking the Benchmark - Comparing Synthetic and Real-World Network Ids Datasets
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.2021.103019openalex-snapshot
A distributed deployment algorithm for communication coverage in wireless robotic networks
inferredcites →https://doi.org/10.1016/j.jnca.2023.103760openalex-snapshot
Deep transfer learning for intrusion detection in industrial control networks: A comprehensive review
inferredcites →https://doi.org/10.1016/j.knosys.2020.105590openalex-snapshot
Object Detection Binary Classifiers methodology based on deep learning to identify small objects handled similarly: Application in video surveillance
inferredcites →https://doi.org/10.1016/j.knosys.2021.106771openalex-snapshot
Image classification with deep learning in the presence of noisy labels: A survey
inferredcites →https://doi.org/10.1016/j.prime.2024.100590openalex-snapshot
An empirical assessment of ML models for 5G network intrusion detection: A data leakage-free approach
inferredcites →https://doi.org/10.1016/j.procs.2020.04.133openalex-snapshot
Performance Analysis of Machine Learning Algorithms in Intrusion Detection System: A Review
inferredcites →https://doi.org/10.1016/j.renene.2022.12.123openalex-snapshot
Near real-time wind speed forecast model with bidirectional LSTM networks
inferredcites →https://doi.org/10.1016/j.softx.2021.100929openalex-snapshot
flow-models: A framework for analysis and modeling of IP network flows
inferredcites →https://doi.org/10.1016/j.tcs.2022.07.030openalex-snapshot
An anomaly-based intrusion detection system using recursive feature elimination technique for improved attack detection
inferredcites →https://doi.org/10.1080/1206212x.2021.1885150openalex-snapshot
A survey of intrusion detection from the perspective of intrusion datasets and machine learning techniques
inferredcites →https://doi.org/10.1109/access.2020.2972627openalex-snapshot
BAT: Deep Learning Methods on Network Intrusion Detection Using NSL-KDD Dataset
inferredcites →https://doi.org/10.1109/access.2020.3000476openalex-snapshot
Deep Transfer Learning for IoT Attack Detection
inferredcites →https://doi.org/10.1109/access.2020.3024219openalex-snapshot
SLGBM: An Intrusion Detection Mechanism for Wireless Sensor Networks in Smart Environments
inferredcites →https://doi.org/10.1109/access.2020.3041951openalex-snapshot
A Survey on Machine Learning Techniques for Cyber Security in the Last Decade
inferredcites →https://doi.org/10.1109/access.2020.3043876openalex-snapshot
Testbed for 5G Connected Artificial Intelligence on Virtualized Networks
inferredcites →https://doi.org/10.1109/access.2021.3076264openalex-snapshot
ElStream: An Ensemble Learning Approach for Concept Drift Detection in Dynamic Social Big Data Stream Learning
inferredcites →https://doi.org/10.1109/access.2021.3097247openalex-snapshot
Deep Learning-Based Intrusion Detection Systems: A Systematic Review
inferredcites →https://doi.org/10.1109/access.2021.3105396openalex-snapshot
5G Security Challenges and Solutions: A Review by OSI Layers
inferredcites →https://doi.org/10.1109/access.2021.3108423openalex-snapshot
5G Campus Networks: A First Measurement Study
inferredcites →https://doi.org/10.1109/access.2021.3129336openalex-snapshot
A Comprehensive Systematic Literature Review on Intrusion Detection Systems
inferredcites →https://doi.org/10.1109/access.2023.3288334openalex-snapshot
5G Multi-Access Edge Computing: A Survey on Security, Dependability, and Performance
inferredcites →https://doi.org/10.1109/access.2023.3333209openalex-snapshot
Automated Generation of 5G Fine-Grained Threat Models: A Systematic Approach
inferredcites →https://doi.org/10.1109/access.2024.3361403openalex-snapshot
Comparative Analysis of Machine Learning Algorithms for 5G Coverage Prediction: Identification of Dominant Feature Parameters and Prediction Accuracy
inferredcites →https://doi.org/10.1109/access.2024.3386632openalex-snapshot
Security in 5G Network Slices: Concerns and Opportunities
inferredcites →https://doi.org/10.1109/access.2024.3493957openalex-snapshot
AI Enabled Threat Detection: Leveraging Artificial Intelligence for Advanced Security and Cyber Threat Mitigation
inferredcites →https://doi.org/10.1109/blackseacom58138.2023.10299755openalex-snapshot
Open Source 5G Core Network Implementations: A Qualitative and Quantitative Analysis
inferredcites →https://doi.org/10.1109/ccnc51664.2024.10454755openalex-snapshot
Machine Learning Algorithms for DoS and DDoS Cyberattacks Detection in Real-Time Environment
inferredcites →https://doi.org/10.1109/comst.2024.3484491openalex-snapshot
Reinforcement-Learning-Based Intrusion Detection in Communication Networks: A Review
inferredcites →https://doi.org/10.1109/eucnc/6gsummit51104.2021.9482503openalex-snapshot
AI and 6G Security: Opportunities and Challenges
inferredcites →https://doi.org/10.1109/eucnc/6gsummit54941.2022.9815754openalex-snapshot
Federated Learning based Anomaly Detection as an Enabler for Securing Network and Service Management Automation in Beyond 5G Networks
inferredcites →https://doi.org/10.1109/eucnc/6gsummit58263.2023.10188245openalex-snapshot
DDoS attack detection using unsupervised federated learning for 5G networks and beyond
inferredcites →https://doi.org/10.1109/gcwkshps56602.2022.10008647openalex-snapshot
Machine Learning 5G Attack Detection in Programmable Logic
inferredcites →https://doi.org/10.1109/globecom54140.2023.10436891openalex-snapshot
A Deep Transfer Learning-Powered EDoS Detection Mechanism for 5G and Beyond Network Slicing
inferredcites →https://doi.org/10.1109/icc45041.2023.10279335openalex-snapshot
A Method for Network Intrusion Detection Using Flow Sequence and BERT Framework
inferredcites →https://doi.org/10.1109/icc45855.2022.9838780openalex-snapshot
A Transfer Learning and Optimized CNN Based Intrusion Detection System for Internet of Vehicles
inferredcites →https://doi.org/10.1109/iccca49541.2020.9250753openalex-snapshot
A Hybrid Intrusion Detection System Based on Decision Tree and Support Vector Machine
inferredcites →https://doi.org/10.1109/icccnt56998.2023.10306699openalex-snapshot
"Unleashing the Potential of Grafana: A Comprehensive Study on Real-Time Monitoring and Visualization"
inferredcites →https://doi.org/10.1109/idaacs53288.2021.9661021openalex-snapshot
Intrusion Detection System for 5G with a Focus on DOS/DDOS Attacks
inferredcites →https://doi.org/10.1109/ited56637.2022.10051526openalex-snapshot
An Enhanced Deep Neural Network Enabled with Cuckoo Search Algorithm for Intrusion Detection in Wide Area Networks
inferredcites →https://doi.org/10.1109/jproc.2022.3175942openalex-snapshot
Transfer Learning for Wireless Networks: A Comprehensive Survey
inferredcites →https://doi.org/10.1109/lsens.2021.3139624openalex-snapshot
RobotNEST: Toward a Viable Testbed for IoT-Enabled Environments and Connected and Autonomous Robots
inferredcites →https://doi.org/10.1109/mocast57943.2023.10176693openalex-snapshot
5G Core PFCP Intrusion Detection Dataset
inferredcites →https://doi.org/10.1109/noms59830.2024.10575687openalex-snapshot
Evaluating Open-Source 5G SA Testbeds: Unveiling Performance Disparities in RAN Scenarios
inferredcites →https://doi.org/10.1109/spw53761.2021.00009openalex-snapshot
Troubleshooting an Intrusion Detection Dataset: the CICIDS2017 Case Study
inferredcites →https://doi.org/10.1109/tce.2023.3347170openalex-snapshot
Federated Deep Learning for Intrusion Detection in Consumer-Centric Internet of Things
inferredcites →https://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
inferredcites →https://doi.org/10.1109/tdsc.2023.3338136openalex-snapshot
RANK: AI-Assisted End-to-End Architecture for Detecting Persistent Attacks in Enterprise Networks
inferredcites →https://doi.org/10.1109/tetc.2022.3178283openalex-snapshot
Improving the Reliability of Network Intrusion Detection Systems Through Dataset Integration
inferredcites →https://doi.org/10.1109/tii.2021.3075444openalex-snapshot
A Joint Energy and Latency Framework for Transfer Learning Over 5G Industrial Edge Networks
inferredcites →https://doi.org/10.1109/tii.2021.3107781openalex-snapshot
Transfer Learning for Disruptive 5G-Enabled Industrial Internet of Things
inferredcites →https://doi.org/10.1109/tii.2021.3132136openalex-snapshot
Transfer Reinforcement Learning Aided Distributed Network Slicing Optimization in Industrial IoT
inferredcites →https://doi.org/10.1109/tnnls.2021.3084827openalex-snapshot
A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects
inferredcites →https://doi.org/10.1109/tnsm.2020.3035342openalex-snapshot
REPEL: A Strategic Approach for Defending 5G Control Plane From DDoS Signalling Attacks
inferredcites →https://doi.org/10.1109/vtc2022-spring54318.2022.9860906openalex-snapshot
Transfer Learning to adapt 5G AI-based Fingerprint Localization across Environments
inferredcites →https://doi.org/10.1134/s0361768822080011openalex-snapshot
Tools for Capturing and Processing High-Speed Network Traffic
inferredcites →https://doi.org/10.1145/3434774openalex-snapshot
Transfer Learning-powered Resource Optimization for Green Computing in 5G-Aided Industrial Internet of Things
inferredcites →https://doi.org/10.1145/3465481.3470079openalex-snapshot
5Greplay: a 5G Network Traffic Fuzzer - Application to Attack Injection
inferredcites →https://doi.org/10.1145/3636534.3697311openalex-snapshot
AI-Driven Network Intrusion Detection and Resource Allocation in Real-World O-RAN 5G Networks
inferredcites →https://doi.org/10.1155/2021/5581806openalex-snapshot
Comparative Study on Heart Disease Prediction Using Feature Selection Techniques on Classification Algorithms
inferredcites →https://doi.org/10.1155/2022/3999039openalex-snapshot
Intrusion Detection Systems in Cloud Computing Paradigm: Analysis and Overview
inferredcites →https://doi.org/10.1155/2022/9304689openalex-snapshot
Intrusion Detection System on IoT with 5G Network Using Deep Learning
inferredcites →https://doi.org/10.1155/2024/2625922openalex-snapshot
Anomaly‐Based Intrusion Detection System in Wireless Sensor Networks Using Machine Learning Algorithms
inferredcites →https://doi.org/10.1186/s13638-022-02204-5openalex-snapshot
Threatening the 5G core via PFCP DoS attacks: the case of blocking UAV communications
inferredcites →https://doi.org/10.1186/s13677-023-00420-yopenalex-snapshot
Enhancement of an IoT hybrid intrusion detection system based on fog-to-cloud computing
inferredcites →https://doi.org/10.1186/s40537-020-00379-6openalex-snapshot
Performance Analysis of Intrusion Detection Systems Using a Feature Selection Method on the UNSW-NB15 Dataset
inferredcites →https://doi.org/10.1186/s40537-023-00834-0openalex-snapshot
Network intrusion detection using feature fusion with deep learning
inferredcites →https://doi.org/10.13140/rg.2.2.11705.38245openalex-snapshot
Next-Gen Information Security: AI-Driven Solutions for Real-Time Cyber Threat Detection in Cloud and Network Environments
inferredcites →https://doi.org/10.2139/ssrn.5123374openalex-snapshot
A Dynamic Predictive Maintenance Approach For Resilient Service Orchestration in Large-Scale 5g Infrastructures
inferredcites →https://doi.org/10.23919/cnsm59352.2023.10327918openalex-snapshot
DTL-IDS: Deep Transfer Learning-Based Intrusion Detection System in 5G Networks
inferredcites →https://doi.org/10.23919/jcin.2022.10005213openalex-snapshot
Blockchain for Network Slicing in 5G and Beyond: Survey and Challenges
inferredcites →https://doi.org/10.3390/app13042479openalex-snapshot
An Ensemble Tree-Based Model for Intrusion Detection in Industrial Internet of Things Networks
inferredcites →https://doi.org/10.3390/app13137507openalex-snapshot
Overview on Intrusion Detection Systems Design Exploiting Machine Learning for Networking Cybersecurity
inferredcites →https://doi.org/10.3390/data6060055openalex-snapshot
Machine Learning-Based Algorithms to Knowledge Extraction from Time Series Data: A Review
inferredcites →https://doi.org/10.3390/electronics11030494openalex-snapshot
Threat Analysis and Distributed Denial of Service (DDoS) Attack Recognition in the Internet of Things (IoT)
inferredcites →https://doi.org/10.3390/electronics11193109openalex-snapshot
Empirical Analysis of Data Streaming and Batch Learning Models for Network Intrusion Detection
inferredcites →https://doi.org/10.3390/electronics12081757openalex-snapshot
An Intelligent Intrusion Detection System for 5G-Enabled Internet of Vehicles
inferredcites →https://doi.org/10.3390/electronics12224604openalex-snapshot
A Comprehensive Study on the Role of Machine Learning in 5G Security: Challenges, Technologies, and Solutions
inferredcites →https://doi.org/10.3390/electronics13050888openalex-snapshot
Cyber5Gym: An Integrated Framework for 5G Cybersecurity Training
inferredcites →https://doi.org/10.3390/electronics9030530openalex-snapshot
A Two-Level Flow-Based Anomalous Activity Detection System for IoT Networks
inferredcites →https://doi.org/10.3390/s20226622openalex-snapshot
5G Beyond 3GPP Release 15 for Connected Automated Mobility in Cross-Border Contexts
inferredcites →https://doi.org/10.3390/s21092987openalex-snapshot
A Multi-Layer Classification Approach for Intrusion Detection in IoT Networks Based on Deep Learning
inferredcites →https://doi.org/10.3390/s22239326openalex-snapshot
Evaluation of Machine Learning Techniques for Traffic Flow-Based Intrusion Detection
inferredcites →https://doi.org/10.3390/s22249957openalex-snapshot
Research of Machine Learning Algorithms for the Development of Intrusion Detection Systems in 5G Mobile Networks and Beyond
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Experimental Quantum Advantage with Quantum Coupon Collector
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Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/itl2.70262openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-032-15764-5_29openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-032-16281-6_23openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-032-27691-9_11openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-032-29501-9_7openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/b978-0-443-29293-4.00016-4openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.icte.2026.09.008openalex-snapshot
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inferred← citeshttps://doi.org/10.1038/s41598-026-61637-wopenalex-snapshot
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inferred← citeshttps://doi.org/10.1142/s1756973726400299openalex-snapshot
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inferred← citeshttps://doi.org/10.1145/3803633.3803638openalex-snapshot
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inferred← citeshttps://doi.org/10.1371/journal.pone.0355372openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/fi17110482openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/fi18090467openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/info17040370openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/informatics13050072openalex-snapshot
TERA: A Trade-Off Evaluation and Resource-Aware Framework for Spam and Phishing Email Detection
inferred← citeshttps://doi.org/10.3390/jtaer20020121openalex-snapshot
Robust AI for Financial Fraud Detection in the GCC: A Hybrid Framework for Imbalance, Drift, and Adversarial Threats
inferred← citeshttps://doi.org/10.3390/make8090277openalex-snapshot
A Cross-Layer Review of Intelligent, Secure, and Privacy-Preserving Internet of Vehicles
inferred← citeshttps://doi.org/10.3390/math13223590openalex-snapshot
Machine Learning for Enabling High-Data-Rate Secure Random Communication: SVM as the Optimal Choice over Others
inferred← citeshttps://doi.org/10.3390/s26206360openalex-snapshot
Cross-Plant Few-Shot Attack Recognition and Detection in Industrial Control Systems
inferred← citeshttps://doi.org/10.55452/1998-6688-2026-23-1-197-208openalex-snapshot
IINTELLIGENT HYBRID METHOD FOR AUTOMATED PENETRATION TESTING IN 5G AND BEYOND NETWORKS
inferred← citeshttps://doi.org/10.59722/riic.v3i2.1233openalex-snapshot
Xander: un ensamble cuántico-clásico para la detección de intrusiones avanzadas en redes modernas
inferred← citeshttps://doi.org/10.67808/jgidv1i1-005-260807110411openalex-snapshot
Leveraging Artificial Intelligence and Deep Learning for Intrusion Detection in 5G Networks
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