HIGHLIGHTS
- who: Hasan Torabi from the (UNIVERSITY) have published the paper: Practical autoencoder based anomaly detection by using vector reconstruction error, in the Journal: (JOURNAL)
- what: The authors propose a new approach for anomaly detection based on autoencoders. The authors investigate the effectiveness of a hierarchical multi-classification on the performance of the proposed method. The authors propose a multi-class classifier with a hierarchical structure to classify all classes of data and improve the performance of one class classifier.. In this research, a sequential approach for intrusion detection by using time-based transformations in the . . .
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