intrusion

Documents about intrusion

• Towards a Reliable Intrusion Detection Benchmark Dataset#199611OpenAlex
• Reservoir computing for network intrusion classification.#457684NCBI PubMed Central
• Anomaly Based Intrusion Detection System Which Analyze the Dataset and Detect Intrusion#199644OpenAlex
• Modeling Realistic Adversarial Attacks against Network Intrusion Detection Systems#242880OpenAlex
• Modeling seawater intrusion under uncertainties : application to the coastal aquifer of Kuwait City#262050HAL (France)
• REFERENCES#2308NCBI Bookshelf
• References#2316NCBI Bookshelf
• Survey of intrusion detection systems: techniques, datasets and challenges#199361OpenAlex
• A deep reinforcement based echo state network for network intrusion classification.#25878NCBI PubMed Central
• A novel multi-stage attack dataset for smart home intrusion detection.#143445NCBI PubMed Central
• Adaptive feature selection with gradient-based relevance for intrusion detection systems.#160044NCBI PubMed Central
• Supervised machine learning intrusion detection review and multi-criteria evaluation.#162165NCBI PubMed Central
• Dynamic intrusion detection for internet of drones using glowworm swarm optimization.#358553NCBI PubMed Central
• Communication-Efficient Federated Class-Incremental Intrusion Detection for Edge IoT Networks.#415700NCBI PubMed Central
• EXECUTIVE SUMMARY#2312NCBI Bookshelf
• COMBUSTION PRODUCTS#2317NCBI Bookshelf
• PRESENTATION SUMMARIES#2323NCBI Bookshelf
• Federated Learning for IoT Intrusion Detection#20524DOAJ
• Toward Adversarial Robustness Network Intrusion Detection Based on Multi-Model Ensemble Approach.#143474NCBI PubMed Central
• Enhancing internet of things intrusion detection through high-performance boosting ensemble learning.#305377NCBI PubMed Central
• Explaining Intrusion Alert Decisions of Deep Learning-based Network Intrusion Detection Systems for Security Analysts#366208arXiv CS
• BPBiLSTM-IDS: a lightweight intrusion detection framework for cyber-physical UAV networks.#457687NCBI PubMed Central
• An enhanced multi-model ensemble learning architecture for robust network intrusion detection.#653533NCBI PubMed Central
• NIDS-β*: an explainable large language based framework for contextual intrusion resilience in network security.#1460NCBI PubMed Central
• Lightweight Federated Learning for Efficient Network Intrusion Detection#20597DOAJ
• TSM-NIDS: A time-series mixer-based intrusion detection system for IoT networks.#30895NCBI PubMed Central
• A cross-dataset harmonized intrusion detection framework with statistically validated multi-model learning.#121109NCBI PubMed Central
• Bird-inspired optimization approach using taper-shape transfer function for intrusion detection in IoT networks.#123139NCBI PubMed Central
• Hybrid Ant-Baby Optimizer and BiLSTM framework for high-performance IoT intrusion detection.#219139NCBI PubMed Central
• Residual-guided hybrid framework for adversarially robust deep learning-based network intrusion detection.#251331NCBI PubMed Central
• DeepShieldIDS: an AI-powered intrusion detection system leveraging HybridIDSNet for robust network security.#402887NCBI PubMed Central
• National Prevention Strategy#2311NCBI Bookshelf
• Clinical Evidence Extractions#2322NCBI Bookshelf
• A transfer-aware, deployment-oriented evaluation framework for NetFlow-based intrusion detection systems (TAN-IDS).#1405NCBI PubMed Central
• A novel unified lightweight temporal-spatial transformer approach for intrusion detection in drone networks.#162166NCBI PubMed Central
• Seamless integration of distributed acoustic sensing and passive optical networks for human intrusion monitoring.#265620NCBI PubMed Central
• Attention integrated deep learning models for interpretable multi-class IoT intrusion detection using SHAP.#288979NCBI PubMed Central
• LiRPE 1.0: a modified linformer with relational positional encoding for network intrusion detection.#305378NCBI PubMed Central
• On detection latencies of network intrusion detectors – discussion and application#342230IRIS
• AER-DCWGAN: Adversarial Encoder-Regularized Dual-Conditional Wasserstein GAN for Imbalanced Network Intrusion Detection.#415705NCBI PubMed Central
• A resource efficient IoT intrusion detection model using hybrid feature selection for edge computing.#437241NCBI PubMed Central
• MOO-IDS: multi-objective optimization-based lightweight intrusion detection system for in-vehicle networks.#636594NCBI PubMed Central
• TR-IDS: Anomaly-Based Intrusion Detection through Text-Convolutional Neural Network and Random Forest#200914OpenAlex
• A novel intrusion detection framework using hybrid deep learning to detect IIoT cloud environments attacks.#1393NCBI PubMed Central
• Political Ecology of Carteret County, NC at the Intersection of Saltwater Intrusion and Coastal Development#248442ScholarlyCommons at Penn
• A multi-level dynamic sample augmentation and heterogeneous feature fusion framework for intelligent intrusion detection.#338737NCBI PubMed Central
• Residual-aware lightweight deep learning framework for high-fidelity intrusion detection in UAV swarm networks.#360936NCBI PubMed Central
• A federated learning-benchmarking framework for privacy-preserving UAV intrusion detection using adaptive aggregation algorithms.#368369NCBI PubMed Central
• An explainable multimodal temporal deep learning framework for intrusion detection (EMT-IDNet) in IoT environments.#393019NCBI PubMed Central
• Invariant state modelling for robust adaptive intrusion detection in software-defined internet of things environments.#469392NCBI PubMed Central