Publication | Open Access
Data security governance in the era of big data: status, challenges, and prospects
79
Citations
11
References
2021
Year
EngineeringMachine LearningInformation SecurityData-centric SecurityBig Data StorageBig Data InfrastructureData ScienceData MiningData IntegrationData Security GovernanceData GovernanceData ManagementData PrivacyComputer ScienceBig Data ExchangeData OwnershipData SecurityDeep Data MiningSecurity GovernanceSecurityBig Data
The global big‑data sector is rapidly evolving with new storage, computing, and analytics technologies, positioning big data as a strategic national resource while simultaneously exposing increasing security incidents. This paper surveys current global data‑security governance, identifies its challenges, and proposes solutions to modernize governance systems.
At present, the global big data industry is experiencing vibrant development with technological evolution and application innovation speeding up side by side. Novel technologies for data storage, computing and analytics, such as non-relational databases, distributed parallel computing, machine learning, and deep data mining have emerged and evolved rapidly. Big data has gradually become a fundamental national strategic resource and a cornerstone factor in production. However, increasing big data security problems are exposed and the number of big data security incidents occurring around the world is on the rise. Against this background, this paper provides a summary of the present situation of global data security governance, points out the challenges, and then proceeds to raise solutions for further modernizing data security governance systems.
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