Vulnerability association evaluation of Internet of thing devices based on attack graph

Device vulnerabilities emerge one after another in the Internet of thing environment, attackers attack on several low-level devices simultaneously by multi-step method to trigger other high-level damage or control information system. Considering correlation between device vulnerabilities, we proposed a based graph evaluate vulnerability risk order ensure network security. First, according type, version, and relevant hidden Markov model can be used association states. Second, analyze possible attacks device, generate states device. Finally, are objectively accurately evaluated graph. The experiments results show that map relationship more improve efficiency accuracy evaluation.