With the increasing number of sensors and smart objects in our daily use, the Internet of Things (IoT) becomes realistic. Thereby, modern applications like “e-health applications” or “smart homes” join our everyday life. These applications have the capability to detect situations of the real world and react to them. Complex Event Processing (CEP) systems can detect such occurring situations, which are in the form of event patterns, efficiently. Besides many benefits which such applications entail, it should not be forgotten that they have a huge impact on privacy. Therefore, it is important that a user has the possibility to decide on his own which complex information he wants to share and which not. This thesis presents a pattern-based access control algorithm which tries to conceal all privacy information in an event stream without destroying the public information. The idea is to reorder a specific set of events of the event stream in such a way that patterns which would result in privacy violations do not longer occur. The evaluation shows that a reorganization of events is possible in many cases without loss of public information.