Protocol Identification System Based on Apriori Algorithm

نویسندگان

  • Wang XiaoPeng
  • Liu Yang
چکیده

This paper presents a set of programme to extract the application-layer protocol features. Based on frequent itemsets mining, the program automatically extracts four most common features of a protocol: characteristic string, session tag, packet length, and packet order. It is experimentally demonstrated that this progran can significantly improve the efficiency of feature extraction, and can be extended to other areas such as intrusion detection and extracting worm signature.

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تاریخ انتشار 2013