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Innovative methodology for elevating big data analysis and security

机译:提升大数据分析和安全性的创新方法

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big amount of data and information transfer among, within, and through organizations all over the globe. This big data information may include sensitive, confidential and restricted data, like financial, legal or private information. Any loss, threat, or leakage of information may trigger high-security risk on such data. Securing big data during analysis phase is still a challenge, especially in cloud systems. This paper proposes a methodology to protect big data during analysis, by classifying data before any action such as moving, copying or processing can take place. Based on big data classification, the security procedures will be activated according to data level criticality.
机译:全球各地的组织内部和通过组织之间的大量数据和信息传输。该大数据信息可以包括敏感,机密和限制数据,如财务,法律或私人信息。信息的任何损失,威胁或泄漏可能会对此类数据引发高安全性风险。在分析阶段保护大数据仍然是一个挑战,特别是在云系统中。本文提出了一种在分析期间保护大数据的方法,通过在任何诸如移动,复制或处理等动作之前进行分类。基于大数据分类,将根据数据级别临界激活安全程序。

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