Inferring User Actions from Provenance Logs

@article{Li2015InferringUA,
  title={Inferring User Actions from Provenance Logs},
  author={Xin Li and Chaitanya Joshi and Y. Tan and R. Ko},
  journal={2015 IEEE Trustcom/BigDataSE/ISPA},
  year={2015},
  volume={1},
  pages={742-749}
}
  • Xin Li, Chaitanya Joshi, +1 author R. Ko
  • Published 2015
  • Computer Science
  • 2015 IEEE Trustcom/BigDataSE/ISPA
Progger, a kernel-spaced cloud data provenance logger which provides fine-grained data activity records, was recently developed to empower cloud stakeholders to trace data life cycles within and across clouds. Progger logs have the potential to allow analysts to infer user actions and create a data-centric behaviour history in a cloud computing environment. However, the Progger logs are complex and noisy and therefore, currently this potential can not be met. This paper proposes a statistical… Expand
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