Abstract: In the backbone of large-scale networks, traffic flows experience abrupt unusual changes which can result in congestion, and limit the extent to ...

Leveraging the low intrinsic-dimensionality of OD flows and the sparse nature of anomalies, a convex program is for- mulated to unveil anomalies across flows ...

Leveraging the low intrinsic-dimensionality of OD flows and the sparse nature of anomalies, a convex program is formulated to unveil anomalies across flows and ...

In the backbone of large-scale networks, traffic flows experience abruptunusual changes which can result in congestion, and limit the extentto which end-user ...

Unveiling anomalies in large-scale networks via sparsity and low rank. M. Mardani, G. Mateos, G. Giannakis. 2011, Asilomar Conference on Signals, Systems and ...

In addition, scalable algorithms to unveil anomalies in large-scale networks should effectively overcome the following challenges: (c1) the problem size can ...

May 26, 2014 · The experiments have shown that our approach is effective in revealing the patterns of network traffic data and detecting attacks from large- ...

Unveiling Anomalies in Large-Scale Networks via Sparsity and Low Rank. Presenter. Georgios Giannakis. March 2, 2012. IMA. Teaching 20Q Thumbnail ...

May 31, 2024 · Finally, we design a prototype system for network anomalies detection such as Probe and R2L attacks. The experiments have shown that our ...

Jul 31, 2012 · In the backbone of large-scale networks, origin-to-destination (OD) traffic flows experience abrupt unusual changes known as traffic volume ...