Network data flow generation method

Abstract

The invention provides a network data flow generation method based on data flow features. The key of the invention is to introduce the characteristic attribute value of the network data flow in the unit time window into the network flow generation method. According to feature values such as the number of newly added network data flow in a configured unit time window, the network data stream duration time distribution, the message number distribution of various types of network data flow, the message transmission time distribution and the message size distribution, network data traffic within the unit time is constructed so as to generate network data traffic. Therefore, feature attributes of network data flow generated within each time window meet configured feature attribute value of network data flow. Based on network data flow generation method based on data flow features, the network data traffic meeting specific attribute and features within the unit time and changing with time can be generated.

Description

[0001] (1) Technical field [0002] The invention relates to network traffic generation technology. [0003] (2) Background technology [0004] The problem of traffic generation has been widely concerned by academic circles and business circles at home and abroad. Real traffic in the live network is an extremely important resource to support various experiments and tests of network security and information security. Compared with traditional simulated traffic generated directly by instruments, real network traffic has the authenticity and complexity of content and characteristics Due to the characteristics of various aspects, the meter cannot continuously generate long-term network traffic that conforms to the characteristics of real network traffic. However, real traffic has transient characteristics, and is often irreproducible and uncontrollable, which is not conducive to the location and analysis of problems during equipment simulation testing. At the same time, real traff...

AI Technical Summary

Problems solved by technology

Real traffic in the live network is an extremely important resource to support various experiments and tests of network security and information security. Compared with traditional simulated traffic generated directly by instruments, real network traffic has the authenticity and complexity of content and characteristics and other characteristics, the instrument cannot continuously generate long-term network traffic that conforms to the characteristics of real network traffic

However, real traffic has transient characteristics, and is often irreproducible and uncontrollable, which is not conducive to the location and analysis of problems during equipment simulation testing. At the same time, real traffic comes from the real network environment, reflects user behavior, and often carries a large number of User behavior information and personal privacy information, which greatly limits the scope and efficiency of real traffic

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