A study of domain name acquisition method based on improved Markov chain

To solve the problem that current domain name acquisition methods have the low efficiency and can only acquire a small number of domain names, the study conducted the statistical analysis of the quantifies of domain names collected in the early stage to find the composition rules and distribution characteristics of domain name characters, and then designed a domain name model based on Markov chain according to these characteristics, and proposed a domain name generation algorithm based on the improved Markov chain. The generated domain names were verified with WHOIS records to confirm whether the domain names exist. The experimental results show that the proposed algorithm has a high accuracy in domain name generating. And compared with other domain name acquisition methods, this method has the faster generating speed, and can generate more domain names with a wider coverage of Top-Level Domains.