title: Сhange-point detection test based on the analysis of the time series' autocorrelation and its application for information security
abstract: Methods for detection changes in the behavior of technical objects, in particular in modern information and computer networks, which are based on the analysis of time series has been investigated. It is shown that these objects are characterized by great internal complexity, as well as a variety of probability distribution of their values. A wide range of possible forms and characteristics of behavior changes caused by unpredictability of both the causes themselves and their possible impact on t
journal: Collection Information technology and security