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Similar Items: Enhancing DevOps Continuous Monitoring Phase: Hybrid Intrusion Detection and Ensemble Learning System (HIDELS)

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The Use of Value Propositions in DevOps Software Product Management
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An Agile and Adaptable DevOps Framework With Tunable Metrics for Enhanced Process Efficiency
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Information technology for automation of server infrastructure management using DevOps tools
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Carbon-Aware AI Control Plane for DevOps Automation: A Reference Architecture and Next-Generation Sustainability Framework
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BizDevOps blueprint: A light model supporting BizDevOps teams planning digital services
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Retraction: Enhancing IoT cybersecurity through lean-based hybrid feature selection and ensemble learning: A visual analytics approach to intrusion detection
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AE-CNN Ensemble: A Novel Architecture for Effective Network Intrusion Detection and Classification
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Scalable and generalizable AI-based intrusion detection in AIoT: a review and lightweight ensemble solution
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Enhancing Routed DEVS Models with Event Tracking
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Hybrid Deep Learning Approaches Enable Intrusion Detection System for Zero-Day Phishing Detection
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Advanced Feature Engineering for Non-Intrusive Load Monitoring
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Expression of Concern: Dual-hybrid intrusion detection system to detect False Data Injection in smart grids
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Using a hybrid attention mechanism as a method to improve the efficiency of network intrusion detection systems
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Comprehensive Evaluation of Hybrid and XAI-Based Feature Selection for Intrusion Detection: A Smart City Perspective
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Network intrusion detection using a hybrid graph-based convolutional network and transformer architecture
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Intrusion detection using federated learning with neural networks
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TICNN—A Hybrid Light-Weight CNN for Large Imbalanced Multi-Class Datasets on Intrusion Detection System in IoT
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Weighted ANOVA and Mutual Information for Enhanced Intrusion Detection System
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Enhancing Intrusion Detection Systems by Integrating Support Vector Machine and Random Forest Classifiers Using Dempster-Shafer Theory
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A Hybrid Ensemble Approach for Early‐Stage Diabetes Detection
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Advancing Cybersecurity Practice: Explainable Machine Learning for Network Intrusion Detection
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A Reliable Stream Learning Model for Network Intrusion Detection Systems
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Adaptive Macroscopic Ensemble Allocation for Robot Teams Monitoring Spatiotemporal Processes
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A Survey for Deep Reinforcement Learning Based Network Intrusion Detection