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This paper proposes a novel method to characterize unwanted email traffic. Research object is a significant, diverse, and representative set of Internet email traffic, The email session we choose is based on an extended deterministic finite automata (EFSA) model, then choose some parameters to capture email traffic characterization. The method is applied to two different volumes of email traffic data...
In this paper, we propose a new method to characterize unwanted email traffic. In order to survey a significant, diverse, and representative set of Internet email traffic, we use an extended deterministic finite automata (EFSA) model to express email session and then choose some parameters to capture email traffic characterization. We apply our mechanism to two different volumes of email traffic data...
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