Forecasting Anomalous Behavior from Network Connection Logs by Deep Learning
碩士 === 國立中正大學 === 資訊工程研究所 === 106 === In the past, predicting anomalous behaviors should rely on known attack models, but building the models are complicated and may not work for unknown attacks. This work presents a deep leaning model, namely EagleNET, which redefines how to predict the occurrence o...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | en_US |
| Published: |
2018
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| Online Access: | http://ndltd.ncl.edu.tw/handle/ex246c |