A method of generating large-scale attack traffic in Cyber ranges based on behavioral features
Cyber range serves as an important infrastructure for conducting network security research as well as offensive and defensive adversarial exercises.Generating attack traffic is the main component of simulating complex behaviors in Cyber ranges.Existing attack traffic generation methods suffer from limitations in terms of attack types,genera-tion rates,and traffic content,making it challenging to meet the requirements of Cyber ranges.To address these problems,this article proposes a method of generating large-scale attack traffic in Cyber ranges based on behavioral features.It constructs attack models with action sequences and key payloads,and efficiently generates large-scale traffic with variable content through the process of dynamically filling packets'templates.On this basis,a fast and flexible attack traffic generator(FATG)is implemented.The experimental results show that FATG has advantages in attack types,scalability,flexibility of traffic content and generation rate compared to existing other attack tools.It can effectively simulate various types of attacks,such as vulnerability exploitation and denial of service,to sup-port security testing of diverse target devices in Cyber ranges.
万方数据
