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An Integrated Data Science and Recall-Aware Ensemble Machine Learning Framework for Explainable Cyberattack Detection

https://doi.org/10.2139/ssrn.6384298
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Advanced Hybrid Techniques for Cyberattack Detection and Defense in IoT Networks
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Optimal Transport: Old and New
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A globally convergent method for nonlinear programming
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A survey on intrusion detection system: feature selection, model, performance measures, application perspective, challenges, and future research directions
inferredcites →https://doi.org/10.1007/s10994-009-5152-4openalex-snapshot
A theory of learning from different domains
inferredcites →https://doi.org/10.1007/s11036-021-01843-0openalex-snapshot
Towards a Standard Feature Set for Network Intrusion Detection System Datasets
inferredcites →https://doi.org/10.1016/j.comnet.2020.107247openalex-snapshot
Building an efficient intrusion detection system based on feature selection and ensemble classifier
inferredcites →https://doi.org/10.1016/j.comnet.2021.107840openalex-snapshot
Machine learning methods for cyber security intrusion detection: Datasets and comparative study
inferredcites →https://doi.org/10.1016/j.cose.2020.101752openalex-snapshot
A deep learning method with wrapper based feature extraction for wireless intrusion detection system
inferredcites →https://doi.org/10.1016/j.eswa.2020.113249openalex-snapshot
A feature selection algorithm for intrusion detection system based on Pigeon Inspired Optimizer
inferredcites →https://doi.org/10.1016/j.procs.2020.03.367openalex-snapshot
Analysis of KDD-Cup’99, NSL-KDD and UNSW-NB15 Datasets using Deep Learning in IoT
inferredcites →https://doi.org/10.1017/cbo9780511804441openalex-snapshot
Convex Optimization
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.2019.2923640openalex-snapshot
An Adaptive Ensemble Machine Learning Model for Intrusion Detection
inferredcites →https://doi.org/10.1109/access.2019.2928048openalex-snapshot
TSE-IDS: A Two-Stage Classifier Ensemble for Intelligent Anomaly-Based Intrusion Detection System
inferredcites →https://doi.org/10.1109/access.2019.2929487openalex-snapshot
Identifying and Benchmarking Key Features for Cyber Intrusion Detection: An Ensemble Approach
inferredcites →https://doi.org/10.1109/access.2024.3380816openalex-snapshot
A Self-Attention-Based Deep Convolutional Neural Networks for IIoT Networks Intrusion Detection
inferredcites →https://doi.org/10.1109/comst.2018.2847722openalex-snapshot
A Detailed Investigation and Analysis of Using Machine Learning Techniques for Intrusion Detection
inferredcites →https://doi.org/10.1109/comst.2020.2988293openalex-snapshot
A Survey of Machine and Deep Learning Methods for Internet of Things (IoT) Security
inferredcites →https://doi.org/10.1109/icitri62858.2024.10698997openalex-snapshot
Optimizing Intrusion Detection: Hybrid Deep Learning Techniques for Class Imbalance Correction
inferredcites →https://doi.org/10.1109/jiot.2022.3167005openalex-snapshot
Intrusion Detection in the IoT Under Data and Concept Drifts: Online Deep Learning Approach
inferredcites →https://doi.org/10.1109/tnsm.2022.3225254openalex-snapshot
Blockchain-Aided and Privacy-Preserving Data Governance in Multi-Stakeholder Applications
inferredcites →https://doi.org/10.1109/tr.2015.2421391openalex-snapshot
A Survey of Securing Networks Using Software Defined Networking
inferredcites →https://doi.org/10.1186/s40537-020-00318-5openalex-snapshot
Cybersecurity data science: an overview from machine learning perspective
inferredcites →https://doi.org/10.1186/s42400-019-0038-7openalex-snapshot
Survey of intrusion detection systems: techniques, datasets and challenges
inferredcites →https://doi.org/10.3390/app11177868openalex-snapshot
Generating Network Intrusion Detection Dataset Based on Real and Encrypted Synthetic Attack Traffic
inferredcites →https://doi.org/10.3390/info9070149openalex-snapshot
Effective Intrusion Detection System Using XGBoost
inferredcites →https://doi.org/10.3390/s20164583openalex-snapshot
A Deep Learning Ensemble for Network Anomaly and Cyber-Attack Detection
inferredcites →https://doi.org/10.55056/jec.648openalex-snapshot
A long short-term memory based approach for detecting cyber attacks in IoT using CIC-IoT2023 dataset
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