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One-class Collective Anomaly Detection based on Long Short-Term Memory Recurrent Neural Networks.

, , and . CoRR, (2018)

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Feature Representation of AutoEncoders for Unsupervised IoT Malware Detection., , , and . FDSE, volume 13076 of Lecture Notes in Computer Science, page 272-290. Springer, (2021)Few-Shot Learning with Discriminative Representation for Cyberattack Detection., , and . KSE, page 1-6. IEEE, (2023)Learning Latent Distribution for Distinguishing Network Traffic in Intrusion Detection System., , , , , and . ICC, page 1-6. IEEE, (2019)Automatically Estimate Clusters in Autoencoder-based Clustering Model for Anomaly Detection., , , and . RIVF, page 1-6. IEEE, (2021)A Clustering-based Shrink AutoEncoder for Detecting Anomalies in Intrusion Detection Systems., , , and . KSE, page 1-5. IEEE, (2019)Detecting Malware Based on Dynamic Analysis Techniques Using Deep Graph Learning., , , , and . FDSE, volume 12466 of Lecture Notes in Computer Science, page 357-378. Springer, (2020)Semantics Based Substituting Technique for Reducing Code Bloat in Genetic Programming., , and . SoICT, page 77-83. ACM, (2018)One-Class Classification for Anomaly Detection with Kernel Density Estimation and Genetic Programming., , and . EuroGP, volume 9594 of Lecture Notes in Computer Science, page 3-18. Springer, (2016)One-class Collective Anomaly Detection based on Long Short-Term Memory Recurrent Neural Networks., , and . CoRR, (2018)Denoising Latent Representation with SOMs for Unsupervised IoT Malware Detection., , , and . SN Comput. Sci., 3 (6): 474 (2022)