Classification of pseudo-random sequences based on the random forest algorithm

Due to the increased number of information leaks caused by internal violators and the lack of mechanisms in modern DLP systems to counter information leaks in encrypted or compressed form, was proposed a method for classifying sequences formed by encryption and data compression algorithms. An algorithm for constructing a random forest was proposed, and the choice of classifier hyper parameters was justified. The presented approach showed the accuracy of classification of the sequences specified in the work 0.98.