New Security Feature Extraction Method Based on Association Rules

In order to prevent the spread of the ill metamorphosed texts in Internet which escaped from the traditional security filtering,a security feature extraction method is presented.The metamorphosed character features in the ill texts are analyzed,they are recognized according to the character co-occurrence and the different codes of the characters and symbols,and then the new algorithm of association rules is proposed to extract the feature terms.The experiments show that it can improve the current situation that the metamorphosed terms could not be identified using the traditional methods and improve the efficiency and the capability of feature identification as the complement of the topic filtering.