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The Application of Network Anomaly Mining Technology in Campus Network Information Security

机译:网络异常挖掘技术在校园网络信息安全中的应用

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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.
机译:Web服务架构逐渐成熟在校园网络的相关申请中,但校园网络异常挖掘技术仍需要进一步发展的机密性,完整性和非拒绝问题。在SOA中,校园网络异常采矿技术仍需要加强安全性和可靠性。基于后缀结构,本文提出了基于网络异常挖掘技术的校园网络信息安全技术的应用,详细分析了校园网络安全功能,并设计了一种基于后缀树校园网络安全的异常挖掘算法。计算机仿真结果表明,该方法可以迅速挖掘网络的异常,确保校园网络的安全性。

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