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Found 3 papers, 1 papers with code
Leveraging a Probabilistic PCA Model to Understand the Multivariate Statistical Network Monitoring Framework for Network Security Anomaly Detection
It is, however, essential to be able to understand these new models from the perspective of the experience attained from years of evaluating network security data for anomaly detection.
MSNM-Sensor: An Applied Network Monitoring Tool for Anomaly Detection in Complex Networks and Systems
In this way, new solutions for monitoring and detecting security events are needed to address new challenges brought about by this scenario, among others, the large number of devices to monitor, the large amount of data to manage and the real-time requirement to provide quick security event detection and, consequently, quick response to attacks.
Multivariate Big Data Analysis for Intrusion Detection: 5 steps from the haystack to the needle
In the second case study we show the Big Data capabilities of the approach in data collected from a real network with labeled attacks.
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