Lin-Bo Qiao

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There is a big difference between the IDS alerts from the network backbone and those from the lab. But there is little work has been done to mine attack models in IDS alerts from the network backbone. The contributions of this paper are three-fold. First, we propose an alert reduction method based on statistical redundancy (RMSR) to reduce the alert(More)
High dimensional data arising from diverse scientific research fields and industrial development have led to increased interest in sparse learning due to model parsimony and computational advantage. With the assumption of sparsity, many computational problems can be handled efficiently in practice. Structured sparse learning encodes the structural(More)
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