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In anomaly intrusion detection, normal profile of target system is built with labeled data sets. But it is time consuming and expensive to label data items. Human knowledge can be used to compensate the lack of labeled data. In this paper, we describe a weighted margin SVM (support vector machine) framework incorporating with pre-defined experienced detection rules to build up normal profile. With...
Statistical learning theory (SLT) is introduced to improve the embarrassments of anti-money laundering (AML) intelligence collection. A set of unusual behavior detection algorithm is presented in this paper based on support vector machine (SVM) in order to take the place of traditional predefined-rule suspicious transaction data filtering system. It could efficiently surmount the worst forms of suspicious...
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