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A Meta-Model to Predict and Detect Malicious Activities in 6G-Structured Wireless Communication Networks

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-319-07353-8_24openalex-snapshot
Decision Tree Techniques Applied on NSL-KDD Data and Its Comparison with Various Feature Selection Techniques
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DAREnsemble: Decision Tree and Rule Learner Based Ensemble for Network Intrusion Detection System
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Improving the Accuracy of Intrusion Detection Using GAR-Forest with Feature Selection
inferredcites →https://doi.org/10.1007/s10844-015-0388-xopenalex-snapshot
Two-tier network anomaly detection model: a machine learning approach
inferredcites →https://doi.org/10.1016/j.atmosres.2020.104928openalex-snapshot
An improved forecast of precipitation type using correlation-based feature selection and multinomial logistic regression
inferredcites →https://doi.org/10.1016/j.cose.2017.06.005openalex-snapshot
A GA-LR wrapper approach for feature selection in network intrusion detection
inferredcites →https://doi.org/10.1016/j.cose.2021.102499openalex-snapshot
CSE-IDS: Using cost-sensitive deep learning and ensemble algorithms to handle class imbalance in network-based intrusion detection systems
inferredcites →https://doi.org/10.1016/j.measurement.2020.108288openalex-snapshot
A hybrid deep transfer learning model with machine learning methods for face mask detection in the era of the COVID-19 pandemic
inferredcites →https://doi.org/10.1080/19393555.2021.1975853openalex-snapshot
Variables influencing the effectiveness of signature-based network intrusion detection systems
inferredcites →https://doi.org/10.1109/access.2022.3201869openalex-snapshot
MLTs-ADCNs: Machine Learning Techniques for Anomaly Detection in Communication Networks
inferredcites →https://doi.org/10.1109/gpecom55404.2022.9815677openalex-snapshot
A Cooperative SWIPT-Hybrid-NOMA Pairing Scheme considering SIC imperfection for THz Communications
inferredcites →https://doi.org/10.1109/jstsp.2019.2899731openalex-snapshot
Joint Beamforming and Power Allocation for Satellite-Terrestrial Integrated Networks With Non-Orthogonal Multiple Access
inferredcites →https://doi.org/10.1109/mcom.2019.1900271openalex-snapshot
The Roadmap to 6G: AI Empowered Wireless Networks
inferredcites →https://doi.org/10.1109/mwc.001.1900516openalex-snapshot
6G: Opening New Horizons for Integration of Comfort, Security, and Intelligence
inferredcites →https://doi.org/10.1109/taes.2022.3190238openalex-snapshot
SLNR-based Secure Energy Efficient Beamforming in Multibeam Satellite Systems
inferredcites →https://doi.org/10.1109/tc.2013.13openalex-snapshot
A Semantic Approach to Host-Based Intrusion Detection Systems Using Contiguousand Discontiguous System Call Patterns
inferredcites →https://doi.org/10.1109/tnnls.2021.3107362openalex-snapshot
DPSNet: Multitask Learning Using Geometry Reasoning for Scene Depth and Semantics
inferredcites →https://doi.org/10.1155/2020/4586875openalex-snapshot
A Stacking Ensemble for Network Intrusion Detection Using Heterogeneous Datasets
inferredcites →https://doi.org/10.11591/ijeecs.v22.i1.pp485-496openalex-snapshot
Designing consensus algorithm for collaborative signature-based intrusion detection system
inferredcites →https://doi.org/10.30684/etj.2022.133066.1165openalex-snapshot
An Enhanced Interface Selectivity Technique to Improve the QoS for the Multi-homed Node
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Multi-Step-Ahead Exchange Rate Forecasting For South Asian Countries Using Multi-Verse Optimized Multiplicative Functional Link Neural Networks
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Twitter Fake Account Detection and Classification using Ontological Engineering and Semantic Web Rule Language
inferredcites →https://doi.org/10.33640/2405-609x.3166openalex-snapshot
Proposed Hybrid CorrelationFeatureSelectionForestPanalizedAttribute Approach to advance IDSs
inferredcites →https://doi.org/10.3389/fendo.2022.1057089openalex-snapshot
The impact of hyperglycaemic crisis episodes on long-term outcomes for inpatients presenting with acute organ injury: A prospective, multicentre follow-up study
inferredcites →https://doi.org/10.3390/electronics10040407openalex-snapshot
A Machine Learning Approach for Anomaly Detection in Industrial Control Systems Based on Measurement Data
inferredcites →https://doi.org/10.3390/electronics11060873openalex-snapshot
Cooperative SWIPT THz-NOMA/6G Performance Analysis
inferredcites →https://doi.org/10.3390/en14113125openalex-snapshot
Machine Learning Techniques for Energy Efficiency and Anomaly Detection in Hybrid Wireless Sensor Networks
inferredcites →https://doi.org/10.3390/network2020017openalex-snapshot
Cooperative SWIPT MIMO-NOMA for Reliable THz 6G Communications
inferredcites →https://doi.org/10.3390/network2040034openalex-snapshot
An Efficient Information Retrieval System Using Evolutionary Algorithms
inferredcites →https://doi.org/10.3390/s22166200openalex-snapshot
SWIPT-Pairing Mechanism for Channel-Aware Cooperative H-NOMA in 6G Terahertz Communications
inferredcites →https://doi.org/10.3390/su142013235openalex-snapshot
Evaluation of Differentiated Services Policies in Multihomed Networks Based on an Interface-Selection Mechanism
inferredcites →https://doi.org/10.3390/sym13101764openalex-snapshot
Feature Selection and Ensemble-Based Intrusion Detection System: An Efficient and Comprehensive Approach
inferredcites →https://doi.org/10.3390/sym14071461openalex-snapshot
Advanced Feature-Selection-Based Hybrid Ensemble Learning Algorithms for Network Intrusion Detection Systems
inferredcites →https://doi.org/10.36541/0231-000-027-004openalex-snapshot
Information Retrieval Using Modified Genetic Algorithm

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1002/ett.70251openalex-snapshot
Securing Symbiotic IoT in 6G Networks Using a Hybrid MCBA ‐ 6GNET Deep Learning Framework for Anomaly Detection
inferred← citeshttps://doi.org/10.1007/978-3-032-01133-6_31openalex-snapshot
Improving Software Defect Prediction: Resolving Data Imbalance with Ensemble Learning
inferred← citeshttps://doi.org/10.1007/978-981-97-8043-3_59openalex-snapshot
Utilizing Deep Learning Methods for Resource Allocation in 6G Communication Networks
inferred← citeshttps://doi.org/10.1007/s10586-025-05255-7openalex-snapshot
Fortifying the future of connectivity: cutting-edge Resi-PAN model for advanced intrusion detection and classification in 6G networks
inferred← citeshttps://doi.org/10.1007/s11277-024-11041-2openalex-snapshot
RETRACTED ARTICLE: Administrative Management Data Anomaly Access Detection Method, Based on 6G IoT
inferred← citeshttps://doi.org/10.1016/j.engappai.2025.111563openalex-snapshot
An adaptive collaborative intrusion detection system for vehicular fog computing networks
inferred← citeshttps://doi.org/10.1016/j.future.2024.107500openalex-snapshot
Cybersecurity for tactical 6G networks: Threats, architecture, and intelligence
inferred← citeshttps://doi.org/10.1016/j.pes.2025.100108openalex-snapshot
Cyber-physical system for enhanced WSN-IoT security using spherical graph triple convolutional neural network with planet optimization algorithm
inferred← citeshttps://doi.org/10.1063/5.0329800openalex-snapshot
Enhanced stacked multi-level ensemble intrusion detection system to predicate cyber attacks
inferred← citeshttps://doi.org/10.1109/access.2025.3595665openalex-snapshot
LLM-Driven APT Detection for 6G Wireless Networks: A Systematic Review and Taxonomy
inferred← citeshttps://doi.org/10.1109/conit69683.2026.11621733openalex-snapshot
Blockchain-Enabled Hybrid 6G and Cloud Framework for Intrusion Detection and Fault Prediction in WSN–Cloud Environments
inferred← citeshttps://doi.org/10.1109/gpecom58364.2023.10175718openalex-snapshot
A Secure Deep Autoencoder-based 6G Channel Estimation to Detect/Mitigate Adversarial Attacks
inferred← citeshttps://doi.org/10.1109/gpecom58364.2023.10175775openalex-snapshot
Cooperative Hybrid-NOMA / Dynamic SWIPT - Pairing Mechanism for 6G THz Communications
inferred← citeshttps://doi.org/10.1109/i-smac65734.2025.11597762openalex-snapshot
Application of Network Monitoring Protocols to Evaluate the Availability and Operability of Connectivity Equipment
inferred← citeshttps://doi.org/10.1109/i2itcon65200.2025.11210688openalex-snapshot
Intrusion Detection and Security Challenges in 6G Networks Using Stochastic Graph Neural Networks
inferred← citeshttps://doi.org/10.1109/ojcoms.2025.3553302openalex-snapshot
A Review of 6G and AI Convergence: Enhancing Communication Networks With Artificial Intelligence
inferred← citeshttps://doi.org/10.1109/tce.2024.3415386openalex-snapshot
Enhancing Resilience in Next-Generation Wireless Networks Through Deep Learning for Security Enhancement
inferred← citeshttps://doi.org/10.1515/jisys-2023-0195openalex-snapshot
Predicting DoS and DDoS attacks in network security scenarios using a hybrid deep learning model
inferred← citeshttps://doi.org/10.3389/frsc.2025.1580006openalex-snapshot
Enhancing security in 6G-enabled wireless sensor networks for smart cities: a multi-deep learning intrusion detection approach
inferred← citeshttps://doi.org/10.3390/electronics12071744openalex-snapshot
Remaining Useful Life Prediction for a Catenary, Utilizing Bayesian Optimization of Stacking
inferred← citeshttps://doi.org/10.3390/electronics12112355openalex-snapshot
Rule-Based System with Machine Learning Support for Detecting Anomalies in 5G WLANs
inferred← citeshttps://doi.org/10.3390/electronics14152983openalex-snapshot
Towards Intelligent Threat Detection in 6G Networks Using Deep Autoencoder
inferred← citeshttps://doi.org/10.3390/en16104139openalex-snapshot
Localization and Sizing of Distributed Generation through a Genetic Algorithm to Improve Voltage Profile Using Ecuadorian Standards
inferred← citeshttps://doi.org/10.4018/979-8-3373-3541-4.ch012openalex-snapshot
Revolutionizing Network Security Stacked Generalization for Malicious Traffic Detection
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