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Found 5 papers, 1 papers with code
Quality In / Quality Out: Assessing Data quality in an Anomaly Detection Benchmark
Autonomous or self-driving networks are expected to provide a solution to the myriad of extremely demanding new applications in the Future Internet.
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.
Interpretable Feature Learning in Multivariate Big Data Analysis for Network Monitoring
There is an increasing interest in the development of new data-driven models useful to assess the performance of communication networks.
Cross-product Penalized Component Analysis (XCAN)
In this paper, we introduce the cross-product penalized component analysis (XCAN), a sparse matrix factorization based on the optimization of a loss function that allows a trade-off between variance maximization and structural preservation.
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.
