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Todays industry depends heavily on the collaboration of multiple businesses that have to exchange a lot of information. In combination with the recent trend of technology roadmapping and model-driven development, this leads to the exchange of very large models. However, the information exchangeable is governed by competition laws, and the businesses own interest of not revealing their intellectual property. Manually ensuring shared models do not contain any "content worth protection" for every exchange is a tedious and error-prone process. Therefore, this bachelor thesis suggests an automated one-way transformation approach to remove content worth protecting from a given model. With it, we propose two core artifacts: i) An obfuscation program with a formal catalog of applicable one-way model transformations ii) a proof of concept implementation of this obfuscation program in the context of the modeling tool Iris. We collect a total of sixteen transformation categories and analyze them according to a set of predefined properties and constraints. The proof of concept implementation underlines their effectiveness and reveals areas in which there exists a need for further research.