Detection of cyber threats to network infrastructure of digital production based on the methods of Big Data and multifractal analysis of traffic

摘要: The article offers an approach to analyzing data security of network infrastructure digital production providing for contraction traffic size and detecting anomalies in the on basis multifractal analysis. will be provided due extraction significant parameters from packets dropping rest data, as well application such Big Data method aggregation. experimental investigations contracting have proven operability efficiency thereof. has demonstrated a possibility volume hundreds Gbit several Mbyte. suggested analysis using assessment width multifractional spectrum criterion anomaly presence detected both simulated attacks denial servicing SYN-flood smurf. Thus, can efficiently used big volumes dissimilar production.