Abstract
Web Service architecture gradually matures in the related applications of campus network, but campus network anomaly mining technology still needs further development in its confidentiality, integrity, and non-repudiation problems. In SOA, campus network anomaly mining technology still needs to strengthen safety and reliability. Based on suffix tree technology, this paper proposed the application of campus network information security technology based on network anomaly mining technology, analyzed the campus network security features in detail, and designed an anomaly mining algorithm on suffix tree campus network security. Computer simulation results show that the proposed method can rapidly mine the abnormalities of the network and ensure the security of campus network. KeywordsWeb log; Campus network; information security; data mining algorithm
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