Traffic generator based on behavioral pattern

Network traffic generation was the subject of many research projects in the past, but none of them could generate network data which has the same nature as a traffic from human or machine behavior. In this paper we introduce a related work in this field of area focusing on advantages and disadvantages, such as authenticity, inaccuracy, wrong timings and real-time generation. Further, we propose a generator capable of generating traffic with predefined behavioral pattern of a valid communication. The high diversity and randomness of generated traffic allowed us to use this generator for testing of our reputation system, which evaluates value of reputation based on behavioral pattern by analysing network traffic.