Godwin Caruana

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Spam continues to inflict increased damage. Varying approaches including Support Vector Machine (SVM) based techniques have been proposed for spam classification. However, SVM training is a computationally intensive process. This paper presents a parallel SVM algorithm for scalable spam filtering. By distributing, processing and optimizing the subsets of(More)
From just an annoying characteristic of the electronic mail epoch, spam has evolved into an expensive resource and time-consuming problem. In this survey, we focus on emerging approaches to spam filtering built on recent developments in computing technologies. These include peer-to-peer computing, grid computing, semantic Web, and social networks. We also(More)
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