Deep Belief Network reduces false positives in risky host detection.
problem Overwhelming alerts from SIEM systems, focusing on reducing false positives.
method Combines alert information, logs, and analyst results; uses text mining and graph-based methods for feature generation; compares against various machine learning algorithms.
result Deep Belief Network outperforms other algorithms, improving detection by six times.