IoT devices generate mountains of data that must be captured, aggregated, and processed by analytic systems. Preprocessing of IoT-collected data often occurs at the edge, where an initial filter is applied leaving only filtered data to be passed to a data analytic system in the fog or in the cloud.
Preprocessing also includes the classification of data objects. Classification can be done based on the types and/or sensitivities of the data. Metadata is added, which includes tags that represent the security sensitivity and other attributes of the data or the sources that collected the data. For example, any sensitive data that requires confidentiality protections should be tagged as such. At this stage, both data and metadata ...
