An access and inference control model for time series databases
An access and inference control model for time series databases is a scholarly work, published in 2019 in ''Future Generation Computer Systems''. The main subjects of the publication include database, cryptographic protocol, data access, peer-to-peer, data mining, access control, technological overhead, time series, database security, series, Trust management, inference, and computer science. The authors' evaluation shows that the overhead imposed on queries by the secure access layer depends on several parameters such as class of query, number of authorization rules, complexity of value constraints, and number of data being accessed.