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Network security Mode analysis based on big data environment

机译:基于大数据环境的网络安全模式分析

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In recent years, driven by the trend of big data and cloud computing, various complex security issues in the traditional security mode have gradually emerged. On the one hand, new, persistent, and advanced attack threats emerge in an endless stream. The use of ransomware, Oday vulnerabilities and even more threatening APT attacks cannot be detected and prevented by traditional security protection equipment. On the other hand, with the explosive growth of Internet traffic, the number of deployed security devices has gradually increased and the network environment has become increasingly complex, resulting in massive amounts of data that cannot be effectively analyzed and utilized. Therefore, how to effectively analyze the network security mode in the big data environment has become an important link facing the current network security problems.
机译:近年来,由于大数据和云计算的趋势驱动,传统安全模式中的各种复杂的安全问题逐渐出现。 一方面,新的,持续和高级攻击威胁在无休止的流中出现。 传统安全保护设备无法检测和防止使用勒索软件,ODY漏洞甚至更威胁攻击。 另一方面,随着互联网流量的爆炸性增长,部署的安全设备的数量逐渐增加,网络环境变得越来越复杂,导致无法有效地分析和使用的大量数据。 因此,如何在大数据环境中有效地分析网络安全模式已成为面对当前网络安全问题的重要链路。

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