A feed forward deep neural network model using feature selection for cloud intrusion detection system
Hidangmayum Satyajeet Sharma,
Khundrakpam Johnson Singh
Abstract:SummaryThe rapid advancement and growth of technology have rendered cloud computing services indispensable to our activities. Threats and intrusions have since multiplied exponentially across a range of industries. In such a scenario, the intrusion detection system, or simply the IDS, is deployed on the network to monitor and detect any attacks. The paper proposes a feed‐forward deep neural network (FFDNN) method based on deep learning methodology using a filter‐based feature selection model. The feature selec… Show more
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