Abstract

In a time flooded with massive spam messages,clearing them wastes a huge amount of time and energy.Mining the sending feature of spam messages is the key to solving this problem.On the basis of analyzing current text-message filtering mechanisms,an effective interaction period was proposed by combining the discrete interaction units of the message sender into a consecutive interaction unit according to the essence of median filter.Utilizing the ratio of input to output and Effective Interaction Period(EIP),a general filtering algorithm of spam message was built.Experimenting on 20 millions real messages,the recall ratio of the proposed algorithm was 99.51% and the precision ratio was 49.90%.The experimental results indicate that the new algorithm greatly enhances the efficiency and velocity of detection,which can be applied to spam messages real-time intercepted technology.

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