Feb. 6, 2023, 2:10 a.m. | Dr Anthony L. Faulds

cs.CR updates on arXiv.org arxiv.org

Protecting sensitive data is an essential part of security in cloud
computing. However, only specific privileged individuals have access to view or
interact with this data; therefore, it is unscalable to depend on these
individuals also to maintain the software. A solution to this is to allow
non-privileged individuals access to maintain these systems but mask sensitive
information from egressing. To this end, we have created a machine-learning
model to predict and redact fields with sensitive data. This work concentrates …

access cloud cloud computing command command line computing data end information interface machine modeling non predict privileged protecting risk security sensitive data sensitive information software solution systems

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