The Privacy Issue for Pseudonymized Customers in the Smart Grid

This is a short overview of the privacy issues for customers in the Smart Grid infrastructure. Smart meter and other devices within the Smart Grid produce a lot of privacy sensitive data. With this find grained data it is possible to make predictions about the daily routine of a household or create a movement profile of a vehicle. There are techniques to protect the privacy of a person in network-alike structures, e.g. by creating pseudonyms or anonymizing the flow of data. But this protection does not always work in an adequate way, for example if there are quasi identifier, significant or linked pattern, it is possible to depseudonymize and de-anonymize a customer. So it is possible to analyse the daily routine of a person as well as creating a movement profile of his electrical vehicle or getting some informations about his preferences or issues.