Security Attitude Prediction Model of Secret-Related Computer Information System Based on Distributed Parallel Computing Programming

In recent years, there has been an upward trend in the number of leaked secrets. Among them, secret-related computers or networks are connected to Internet violation regulations, cross-use mobile storage media, and poor security management intranets, which main reasons for leaks. Therefore, it is great significance study physical isolation protection technology classified information systems. Physical important part systems, cuts off possibility unauthorized outflow from network environment. To achieve environment build a safe reliable network, necessary continuously improve level construction strengthen capabilities. At present, realization mainly relies on products such as firewall, intrusion detection, illegal outreach, host monitoring, auditing. This analyzes systems scanning, firewall. Establishing model based vulnerabilities making up hidden dangers caused by holes generally passive system. leader behavior—human behavior—needs be constrained according requirements system monitoring. Accordingly, this proposes monitoring computer involving computer. The can analyze, monitor, manage, process behavior terminal local area purpose reducing risks Based evaluation value sequence, initial prediction sequence obtained sliding adaptive triple exponential smoothing method. time-varying weighted Markov chain used error prediction, corrected, accuracy situation improved. According complete, safe, reliable, controllable constructed, existing loopholes eliminated greatest extent possible. enables confidentiality, integrity, availability confidential data reliably protected.