The Hierarchial Data Aggregation Method in Backbone Traffic Streaming Analyzing to Ensure Digital Systems Information Security

摘要

Modern large digital systems security poses the urgent task of detecting network attacks on the backbone highspeed traffic flow. To solve this problem, one need to preprocess, prepare and aggregate data from network packets. The network traffic analysis module aggregates big data from the traffic flow in time series for mathematical analysis. The authors propose a new hierarchical method of data aggregation, which allows to more effectively reducing the data size and speed up the processing of each separate new fragment. The method consists in introducing Parent-Child-Relation links between the analyzed parameters time series and the use of data accumulation and shift based on these relationships. Paper include estimating of proposed method effectiveness.