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A Large-Scale Network Data Analysis via Sparse and Low Rank Reconstruction
2014
Discrete Dynamics in Nature and Society
With the rapid growth of data communications in size and complexity, the threat of malicious activities and computer crimes has increased accordingly as well. Thus, investigating efficient data processing techniques for network operation and management over large-scale network traffic is highly required. Some mathematical approaches on flow-level traffic data have been proposed due to the importance of analyzing the structure and situation of the network. Different from the state-of-the-art
doi:10.1155/2014/323764
fatcat:shs6wtxsmjhanbeupflkfdci2u