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A hybrid ensemble machine learning model for detecting APT attacks based on network behavior anomaly detection

https://doi.org/10.1002/cpe.7865
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Outgoing claims: the papers this work cites, builds on, or argues with.

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Botnet attack detection in Internet of Things devices over cloud environment via machine learning
inferredcites →https://doi.org/10.1007/978-3-030-23502-4_12openalex-snapshot
Dynamic Network Anomaly Detection System by Using Deep Learning Techniques
inferredcites →https://doi.org/10.1007/s00521-020-04914-7openalex-snapshot
A semi-self-taught network intrusion detection system
inferredcites →https://doi.org/10.1007/s00521-021-05952-5openalex-snapshot
A novel approach for APT attack detection based on combined deep learning model
inferredcites →https://doi.org/10.1007/s10207-021-00567-2openalex-snapshot
A content-based deep intrusion detection system
inferredcites →https://doi.org/10.1007/s11227-021-04201-9openalex-snapshot
APT-Dt-KC: advanced persistent threat detection based on kill-chain model
inferredcites →https://doi.org/10.1016/j.array.2021.100067openalex-snapshot
Advanced Persistent Threat attack detection method in cloud computing based on autoencoder and softmax regression algorithm
inferredcites →https://doi.org/10.1016/j.cose.2021.102600openalex-snapshot
An efficient network behavior anomaly detection using a hybrid DBN-LSTM network
inferredcites →https://doi.org/10.1016/j.eij.2022.06.005openalex-snapshot
A novel approach for detecting advanced persistent threats
inferredcites →https://doi.org/10.1016/j.future.2017.11.005openalex-snapshot
Special Issue on Advanced Persistent Threat
inferredcites →https://doi.org/10.1016/j.future.2018.06.055openalex-snapshot
Detection of advanced persistent threat using machine-learning correlation analysis
inferredcites →https://doi.org/10.1016/j.jisa.2019.102419openalex-snapshot
Deep learning for cyber security intrusion detection: Approaches, datasets, and comparative study
inferredcites →https://doi.org/10.1016/j.jisa.2020.102564openalex-snapshot
Inter-dataset generalization strength of supervised machine learning methods for intrusion detection
inferredcites →https://doi.org/10.1016/j.jnca.2020.102767openalex-snapshot
Deep learning methods in network intrusion detection: A survey and an objective comparison
inferredcites →https://doi.org/10.1016/j.jnca.2021.103111openalex-snapshot
Towards secure intrusion detection systems using deep learning techniques: Comprehensive analysis and review
inferredcites →https://doi.org/10.1016/j.procs.2022.03.029openalex-snapshot
Intrusion Detection Systems using Supervised Machine Learning Techniques: A survey
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Medical diagnosis of COVID-19 using blood tests and machine learning
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Research on Network APT Attack Intrusion Detection Technology Based on Machine Learning Algorithm
inferredcites →https://doi.org/10.1109/acait53529.2021.9731169openalex-snapshot
APTSID: An Ensemble Learning Method for APT Attack Stage Identification
inferredcites →https://doi.org/10.1109/access.2019.2895334openalex-snapshot
Deep Learning Approach for Intelligent Intrusion Detection System
inferredcites →https://doi.org/10.1109/access.2019.2899721openalex-snapshot
TSDL: A Two-Stage Deep Learning Model for Efficient Network Intrusion Detection
inferredcites →https://doi.org/10.1109/access.2020.3029202openalex-snapshot
Early Detection of the Advanced Persistent Threat Attack Using Performance Analysis of Deep Learning
inferredcites →https://doi.org/10.1109/access.2022.3186975openalex-snapshot
A Hybrid Intrusion Detection System Based on Feature Selection and Weighted Stacking Classifier
inferredcites →https://doi.org/10.1109/cisai54367.2021.00091openalex-snapshot
Research on APT Attack Detection Technology Based on DenseNet Convolutional Neural Network
inferredcites →https://doi.org/10.1109/comst.2019.2891891openalex-snapshot
A Survey on Advanced Persistent Threats: Techniques, Solutions, Challenges, and Research Opportunities
inferredcites →https://doi.org/10.1109/crc50527.2021.9392626openalex-snapshot
Advanced Persistent Threat Detection: A Survey
inferredcites →https://doi.org/10.1109/dasc-picom-cbdcom-cyberscitech49142.2020.00025openalex-snapshot
Intrusion Traffic Detection and Characterization using Deep Image Learning
inferredcites →https://doi.org/10.1109/icaeca52838.2021.9675595openalex-snapshot
Intrusion Detection and Prevention in Networks Using Machine Learning and Deep Learning Approaches: A Review
inferredcites →https://doi.org/10.1109/icecce52056.2021.9514161openalex-snapshot
A Practical Comparison of Deep Learning Methods for Network Intrusion Detection
inferredcites →https://doi.org/10.1109/icmlc.2015.7340951openalex-snapshot
Hybrid ensemble learning approach for generation of classification rules
inferredcites →https://doi.org/10.1109/ictc49638.2020.9123302openalex-snapshot
An Efficient Traffic Classification Scheme Using Embedded Feature Selection and LightGBM
inferredcites →https://doi.org/10.1109/isaect50560.2020.9523662openalex-snapshot
Increasing the Performance of an IDS using ANN model on the realistic cyber dataset CSE-CIC-IDS2018
inferredcites →https://doi.org/10.1109/mc.2020.3021548openalex-snapshot
An Approach for Detection of Advanced Persistent Threat Attacks
inferredcites →https://doi.org/10.1109/trustcom53373.2021.00102openalex-snapshot
DeepTaskAPT: Insider APT detection using Task-tree based Deep Learning
inferredcites →https://doi.org/10.1145/3357613.3357618openalex-snapshot
The use of machine learning algorithms for detecting advanced persistent threats
inferredcites →https://doi.org/10.1145/3465481.3469190openalex-snapshot
A Hybrid CNN-LSTM Based Approach for Anomaly Detection Systems in SDNs
inferredcites →https://doi.org/10.11591/ijeecs.v20.i3.pp1413-1418openalex-snapshot
Performance analysis of flow-based attacks detection on CSE-CIC-IDS2018 dataset using deep learning
inferredcites →https://doi.org/10.1186/s40537-020-00382-xopenalex-snapshot
A survey and analysis of intrusion detection models based on CSE-CIC-IDS2018 Big Data
inferredcites →https://doi.org/10.14569/ijacsa.2021.0120407openalex-snapshot
Detecting Unauthorized Network Intrusion based on Network Traffic using Behavior Analysis Techniques
inferredcites →https://doi.org/10.25046/aj060234openalex-snapshot
Improved Detection of Advanced Persistent Threats Using an Anomaly Detection Ensemble Approach
inferredcites →https://doi.org/10.30534/ijeter/2020/42872020openalex-snapshot
Detecting APT attacks based on Network Flow
inferredcites →https://doi.org/10.3233/jifs-200694openalex-snapshot
APT attack detection based on flow network analysis techniques using deep learning
inferredcites →https://doi.org/10.3233/jifs-202465openalex-snapshot
A multi-layer approach for advanced persistent threat detection using machine learning based on network traffic
inferredcites →https://doi.org/10.32604/cmc.2021.014223openalex-snapshot
A Cyber Kill Chain Approach for Detecting Advanced Persistent Threats
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Detection and Classification of Advanced Persistent Threats and Attacks Using the Support Vector Machine
inferredcites →https://doi.org/10.5281/zenodo.7911820openalex-snapshot
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Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1002/cpe.70449openalex-snapshot
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inferred← citeshttps://doi.org/10.1002/cpe.8154openalex-snapshot
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inferred← citeshttps://doi.org/10.1002/ett.70069openalex-snapshot
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inferred← citeshttps://doi.org/10.1002/sam.70005openalex-snapshot
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inferred← citeshttps://doi.org/10.1002/spy2.370openalex-snapshot
Analysis of SQL injection attacks in the cloud and in WEB applications
inferred← citeshttps://doi.org/10.1007/978-3-031-71388-0_2openalex-snapshot
An Efficient Intrusion Detection Systems in the IoT and Its Challenges: A Critical Review
inferred← citeshttps://doi.org/10.1007/978-3-031-71773-4_10openalex-snapshot
Advanced Persistent Threats—Techniques, Detection and Defences
inferred← citeshttps://doi.org/10.1007/978-981-96-5388-1_4openalex-snapshot
Enhancing Intrusion Detection in Cloud Environments Using CSE-CIC-IDS
inferred← citeshttps://doi.org/10.1007/978-981-96-8901-9_24openalex-snapshot
A Study of the Effectiveness of Intrusion Detection with Machine Learning Using Undersampling Method
inferred← citeshttps://doi.org/10.1007/978-981-96-9935-3_11openalex-snapshot
Advancements in AI-Based Botnet Detection Techniques for IoT Networks: A Comprehensive Survey
inferred← citeshttps://doi.org/10.1007/978-981-97-0180-3_53openalex-snapshot
A Comprehensive Study of Efficient Intrusion Detection Systems in IoT and Its Problems
inferred← citeshttps://doi.org/10.1007/s00521-025-11338-8openalex-snapshot
SLF-ADM: Securing Linux frontiers: Advanced persistent threat (APT) detection using machine learning
inferred← citeshttps://doi.org/10.1007/s10207-025-01053-9openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s10586-026-06367-4openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s11227-025-08129-2openalex-snapshot
L2DAPT – LLMs and Linux: decoding advanced persistent threats
inferred← citeshttps://doi.org/10.1007/s13042-025-02638-5openalex-snapshot
Adaptive dynamic graphs for anomaly detection via inter- and intra-diffusion
inferred← citeshttps://doi.org/10.1007/s42979-026-04978-7openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.comnet.2026.112570openalex-snapshot
cAPTure dataset: How fast can you detect APT threats?
inferred← citeshttps://doi.org/10.1016/j.compeleceng.2025.110760openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.eneco.2025.108184openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.eswa.2023.123014openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.jnlssr.2025.100236openalex-snapshot
Machine learning hybrid dynamic best model selection algorithm for real-time fire prediction using IoT-enabled multi-sensor data in buildings
inferred← citeshttps://doi.org/10.1016/j.knosys.2025.113715openalex-snapshot
Securing virtualized cloud infrastructures with temporal inductive path neural networks for attack detection
inferred← citeshttps://doi.org/10.1016/j.neucom.2026.134416openalex-snapshot
DDoS attacks and detection in smart grids: A systematic survey of threat models, detection methods, and cyber-physical impact
inferred← citeshttps://doi.org/10.1016/j.phycom.2024.102406openalex-snapshot
Abnormal traffic detection for Internet of Things based on an improved Residual Network
inferred← citeshttps://doi.org/10.1016/j.rineng.2025.104078openalex-snapshot
Enhancing cybersecurity incident response: AI-driven optimization for strengthened advanced persistent threat detection
inferred← citeshttps://doi.org/10.1080/03610918.2026.2671367openalex-snapshot
CNN based transfer learning with hybrid optimization for advanced persistent threat detection
inferred← citeshttps://doi.org/10.1080/03772063.2025.2612297openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/access.2025.3589620openalex-snapshot
Anomaly Detection Model in Network Security Situational Awareness Based on Machine Learning: Limitation, Techniques, and Future Trends
inferred← citeshttps://doi.org/10.1109/conecct68978.2026.11700666openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/csp66295.2025.00031openalex-snapshot
Integrating Tree Structures with the MITRE ATT&CK Framework for APT Detection
inferred← citeshttps://doi.org/10.1109/iceiec61773.2024.10561650openalex-snapshot
APT Detection Based on RSDN Framework
inferred← citeshttps://doi.org/10.1109/icftic64248.2024.10913110openalex-snapshot
KGNN: Combining KAN Networks and Graph Neural Networks for APT Attack Detection
inferred← citeshttps://doi.org/10.1109/iciscn67954.2026.11566170openalex-snapshot
Optimization-Driven Feature Engineering with Drift-Guided Evolutionary Pressure for Fifth Generation Network Anomaly Detection
inferred← citeshttps://doi.org/10.1109/icsp62129.2024.10846302openalex-snapshot
Deep Learning Based APT Attack Recognition
inferred← citeshttps://doi.org/10.1109/iemcon67450.2025.11381046openalex-snapshot
Hybrid Ensemble and Deep Learning Architectures for Advanced Persistent Threat Detection
inferred← citeshttps://doi.org/10.1109/isorc61049.2024.10551335openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/qpain66474.2025.11172037openalex-snapshot
A Robust Ensemble Learning Approach for Real-Time Intrusion Detection in Network Traffic
inferred← citeshttps://doi.org/10.1109/tase.2025.3572510openalex-snapshot
BPSO-AHDL-IDS: Binary Particle Swarm Optimization-Based Automated Hybrid Deep Learning Model for Intrusion Detection of Internet of Things
inferred← citeshttps://doi.org/10.1109/tc.2025.3547150openalex-snapshot
Deep Learning-Based Cloud Security: Innovative Attack Detection and Privacy Focused Key Management
inferred← citeshttps://doi.org/10.1109/tii.2025.3547050openalex-snapshot
TRACER: Attack-Aware Divide-and-Conquer Transformer for Intrusion Detection in Industrial Internet of Things
inferred← citeshttps://doi.org/10.1145/3813822.3813904openalex-snapshot
Research on False Flag APT Attack Technology Based on Large Model
inferred← citeshttps://doi.org/10.1186/s40537-025-01272-wopenalex-snapshot
An optimized hybrid ensemble machine learning model combining multiple classifiers for detecting advanced persistent threats in networks
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/10.31127/tuje.1516046openalex-snapshot
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inferred← citeshttps://doi.org/10.31127/tuje.1630410openalex-snapshot
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inferred← citeshttps://doi.org/10.31436/iiumej.v27i2.4240openalex-snapshot
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inferred← citeshttps://doi.org/10.32604/cmc.2024.051535openalex-snapshot
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inferred← citeshttps://doi.org/10.32604/cmc.2025.066892openalex-snapshot
AI-Driven Identification of Attack Precursors: A Machine Learning Approach to Predictive Cybersecurity
inferred← citeshttps://doi.org/10.3390/electronics14152924openalex-snapshot
TSE-APT: An APT Attack-Detection Method Based on Time-Series and Ensemble-Learning Models
inferred← citeshttps://doi.org/10.36227/techrxiv.171625916.68626958/v1openalex-snapshot
Situation-Aware Malware Detection on Windows OS Based on Environmental Information
inferred← citeshttps://doi.org/10.58691/man/200768openalex-snapshot
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inferred← citeshttps://doi.org/10.62411/jcta.11179openalex-snapshot
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