Detection of UDP-Based Volumetric DDoS Attacks in IoT Environments Using LSTM with Temporal Attention Mechanism. [PDF]
Aydin BE, Güney Z, Aydin H.
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Detecting Unseen IoT Attacks with Calibrated Dual Evidence Under Low False-Positive Budget. [PDF]
Yue J, Lu Y, Xie Y.
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Deep learning-based multi-class misbehavior classification in fog-enabled vehicular ad hoc networks. [PDF]
Kamal H, Haikal AY, Saafan MM.
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The dashboard says "perfect:" a systematic audit of label-free model monitoring and test-time adaptation under temporal distribution shift in network intrusion detection. [PDF]
Ahmed W, Rahaman MA, Roy P, Alam P.
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A novel intrusion detection system for IIoT in 5G networks using attention-augmented federated learning and lightweight transformer architectures. [PDF]
Du J.
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A dataset-centric review of IoT and IIoT intrusion detection: realism, evaluation biases, and future research directions. [PDF]
Reddy DS, Kumar KA.
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MM-NIDS: A Novel Multimodal Ensemble Fusion Network Intrusion Detection System Using Numeric, Text, Graph, and Quantum Representations. [PDF]
AboulEla S, Kashef R.
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MSCA-Net: A Multi-Scale Depthwise Attention Network for Multi-Class Intrusion Detection in Internet of Medical Things. [PDF]
Söğüt E, Kayaoğlu M, Polat O.
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A lightweight machine learning approach for DDoS detection and classification. [PDF]
Ebrahem O, Dowaji S, Alhammoud S.
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