  Public access to digital data can turn out to be a cause of undesirable
information disclosure. That's why it is vital to somehow protect the data
before publishing. There exist two main subclasses of such a task, namely,
providing individual and group anonymity. In the paper, we introduce a novel
method of protecting group data patterns. Also, we provide a comprehensive
illustrative example.
