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In the investigation titled “The Implication of Cyberattacks on Big Data and How to Mitigate the Risk,” it is discovered that the combination of IAM, Network Segmentation, and SDE algorithms constitutes a powerful line of defense against the ever-increasing risk posed by cyberattacks. This chapter has shed light on the crucial need to preserve valuable assets related to Big Data and offered a thorough strategy for mitigating risks associated with these assets. The previous chapter emphasized the necessity of implementing stringent cybersecurity precautions by digging into the various ramifications that may result from a cyberattack on Big Data. To successfully handle these difficulties, a multi-dimensional approach that combines IAM, Network Segmentation, and SDE algorithms has emerged as an option (Kehayov et al. in Proc Comput Sci 200:1209–1217, 2022 [1]).

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Best Practices for Mitigating Risks, Conclusion and Recommendation

  • 章节

  • 发表日期：

    2025年

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  • Fadele Ayotunde Alaba,
  • Alvaro Rocha

摘要

In the investigation titled “The Implication of Cyberattacks on Big Data and How to Mitigate the Risk,” it is discovered that the combination of IAM, Network Segmentation, and SDE algorithms constitutes a powerful line of defense against the ever-increasing risk posed by cyberattacks. This chapter has shed light on the crucial need to preserve valuable assets related to Big Data and offered a thorough strategy for mitigating risks associated with these assets. The previous chapter emphasized the necessity of implementing stringent cybersecurity precautions by digging into the various ramifications that may result from a cyberattack on Big Data. To successfully handle these difficulties, a multi-dimensional approach that combines IAM, Network Segmentation, and SDE algorithms has emerged as an option (Kehayov et al. in Proc Comput Sci 200:1209–1217, 2022 [1]).