Recurrent Neural Network Attention Mechanisms for Interpretable System Log Anomaly Detection

13 Mar 2018Andy BrownAaron TuorBrian HutchinsonNicole Nichols

Deep learning has recently demonstrated state-of-the art performance on key tasks related to the maintenance of computer systems, such as intrusion detection, denial of service attack detection, hardware and software system failures, and malware detection. In these contexts, model interpretability is vital for administrator and analyst to trust and act on the automated analysis of machine learning models... (read more)

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