In the context of MISP, intelligence handling usually requires a set of stages for that information to be handled effectively. This can be addressed procedurally through a workflow.
Understanding how a taxonomy may be implemented in MISP to assist this process is handy.
According to the MISP taxonomies listing for Estimative Language, this taxonomy is used to descrie the quality and credibility of the underlying information sources, data, and methodologies as described under the Intelligence Community Directive 203 (ICD 203) and JP 2-0. In this article I will describe how these tags may be applied by either an intelligence originator, or when the information is polled from a known credible source to convey likelihood.
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Data classification is broadly defined as the process of organising data by relevant categories so that it may be used and protected more efficiently. On a basic level, the classification process makes data easier to locate and retrieve.
In this article, I will be discussing the usage of the data-classification taxonomy for MISP events and attributes within those events. The intent of this taxonomy being categorising the value of data to provide some additional context to the information or asset being affected.
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One of the great aspects of MISP, is the use of tags to give an indication of what needs to be done with an indicator within an event. Whole events may be assigned tags, but in this article I am going to talk to marking specific indicators with a Course of Action which implies a response when / if that indicator as been encountered.