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Provenance is the derivative history of data (Ko et al. 2015; Ko and Will 2014). While provenance does not directly contribute to upholding and enforcing the information security requirements (confidentiality, integrity, and availability) in the context of Big Data security, provenance and its sources (e.g., metadata, lineage, data activities (create, read, update, and delete)) strongly provide verification and historical evidence to support the analysis or forecasting needs for the purpose of data security. One example is to analyze provenance to understand and prevent outages better (Ko et al. 2012), so as to achieve better availability. Provenance also contributes strongly to data forensics, especially in the study of data activity patterns triggered by software or human processes (Ko et al. 2015) (e.g., ransomware). The lineage and metadata describing provenance also provide substantial evidence for transparency and data accountability (Ko 2014...
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Phua, T.W., Ko, R.K.L. (2019). Data Provenance for Big Data Security and Accountability. In: Sakr, S., Zomaya, A.Y. (eds) Encyclopedia of Big Data Technologies. Springer, Cham. https://doi.org/10.1007/978-3-319-77525-8_237
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DOI: https://doi.org/10.1007/978-3-319-77525-8_237
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