HIGHLIGHTS
- who: Tae-Ho Shin and Soo-Hyung Kim from the Interdisciplinary Program of Information Security, Chonnam National University have published the Article: Utility Analysis about Log Data Anomaly Detection Based on Federated Learning, in the Journal: (JOURNAL)
- what: The authors demonstrate that the hybrid model combining the two models perform better than the application of a single deep learning algorithm, CNN1D, LSTM, in log anomaly detection. The method applied to the model proposed in this paper is horizontal federated learning, as it extracts the same features for different log datasets from two or more local . . .
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