Treffer: Information System Reliability and Fault Root Location Based on PageRank Iterative Algorithm.

To improve the information system's reliability and stability, this paper combines the PageRank iterative algorithm and Genetic Algorithm (GA) to optimize the information system. Firstly, this paper analyzes the structure of the risk assessment model of the information security system. Secondly, the application of the PageRank iterative algorithm and GA in information systems is expounded. Finally, intelligent computing and GA are combined to optimize the risk assessment system, and horizontal comparative experiments prove the rationality of this study. The experimental results show that the accuracy of the optimized model in fault root cause location is much higher than that of the traditional model. The accuracy of locating network risk and equipment risk reaches 97.2% and 96.9%, which verifies the reliability of the optimized model in this paper. Then, through the simulation experiment, the 10-13 cycle of the assessment cycle is attacked, and it shows that the situation value of the information system optimized in this paper has improved during this cycle, with the highest value reaching 24.7. At the same time, the response time of the time-consuming operating system has also decreased to an average of 3.76s, which shows that the performance of the information system optimized in this paper has been dramatically improved. The optimization model in this paper has specific reference significance for the research of information system reliability and fault root cause location. [ABSTRACT FROM AUTHOR]