Journal of Xi'an Jiaotong Universtity

Categorization Method of RealTime Web Page in Network Information Audit Systems
Liao Mingtao¹，Zhang Deyun¹，Hou Lin²，Li Jinku¹
(1.Institute of Network，Xi'an　Jiaotong　University，Xi'an 710049，China；2.Institute of Information and Control Engineering，Xi'an University of Architecture ＆ Technology，Xi'an 710055，China)

Abstract：To accomplish the categorization of realtime web page in network information audit systems，a new method based on DempsterShafer evidence theory is proposed． The main idea of it is as follows：the web page address and fragments are regarded as the evidence of categorization without reassembling IP fragments， and then the support degree that each of evidence stands up for a category is calculated．The Dempster combination rule is used to continuously fuse and adjudge the information provided by various evidences online， and finally the categorized result is obtained． When the existing evidences can efficiently categorize the web page， the subsequence fragments are no need to be handled further． The experiment shows that the precision rate and recall rate of the proposed method are larger than 83% and 90% respectively， and it is superior to the fuzzy K nearest neighbor algorithm based on fragments in the categorization performance and running time．
Keywords：network information audit；web page categorization；evidence theory