Dec 29, 2017 · We focus on risk detection and propose an intelligent Deep Belief Network machine learning system. The system leverages alert information, various security ...
The results indicate that the Deep Belief Network (DBN) performs much better than other algorithms and is 6 times more effective than the current rule-based ...
The system leverages alert information, various security logs and analysts' investigation results in a real enterprise environment to flag hosts that have high ...
Results on real enterprise data indicate that the deep belief network machine learning system performs better than other algorithms for the problem and is ...
While most previous research focused on network intrusion detection, we focus on host risk detection and propose an intelligent Deep Belief Network machine ...
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A Deep Belief Network Based Machine Learning System for Risky Host Detection ... The system leverages alert information, various security logs and analysts' ...
Apr 4, 2024 · A revolutionary intrusion detection system (IDS) that makes use of deep belief networks (DBNs) inside a federated deep learning (FDL) framework.
We propose a deep belief network broad equalization learning system. The model fully learns the large-scale high-dimensional dataset via a deep belief network.
The paper proposes a machine learning method for intrusion information detection, fully exploits the envelope advantages of Elman neural network and the ...
A Deep Belief Network Based Machine Learning System for Risky Host Detection ... The system leverages alert information, various security logs and analysts' ...