Multidimensional linear distinguishing attacks and Boolean functions

In this paper theoretical aspects of multidimensional linear distinguishing attacks are investigated. Using kno wn examples of highly nonlinear Boolean functions we demonstrate h ow multidimensional linear approximations o ffer significant reduction in data complexity in distinguishing attacks. We also get co ncrete examples where one-dimensional linear approximations are nev r statistically independent.