Abstract
AbstractWith the development of computer and network technology, large scale network attacks on the Internet occur frequently, such as worms, distributed denial of service, Trojan etc. The network attacks will have serious impacts on network service and network infrastructure. Data analyses on the variety of network attacks could help people to infer the type of network attacks. According to the association rules, people can take out proper disposal program timely to effectively reduce the harm caused by network attacks. Large scale complex network requires amount of money to support a large number of servers, switches, routers and other physical devices, and the network topology is not easy to change to support flexible network structure. This paper designs and implements an Experiment Environment for large scale network attacks and defense, and presents metrics and indices of effectiveness evaluation of large scale network attacks and defense. Experiments show that the system supports a variety of network attack experiments running at the same time, and can analyze network attack data effectively and predict the trend.KeywordsNetwork attackExperiment environmentEmulabAssessment analysis
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