科研之友
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摘要
The model of data classification and protection is proposed by combining ontology knowledge with immune selection. The knowledge ontology of classification is set up from the point of view of business processes, and the immunity characters are used to identify the properties of the ontology data, the data is intelligently classified by using the rules, so that different protective measures are taken. Besides the rules have optimized by immune algorithm so that the rules have more practicality and adaptability. At the end, a power system of a province is taken for an example. The results show that the model is reasonable and provides a new way of protective data.
