Research on the method of information system risk state estimation based on clustering particle filter

Research on the method of information system risk state estimation based on clustering particle filter

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With the purpose of reinforcing correlation analysis of risk assessment threat factors, a dynamic assessment method of safety risks based on particle filtering is proposed, which takes threat analysis as the core.Based on the risk assessment standards, the method selects threat indicates, applies a particle filtering algorithm to calculate influencing weight of threat indications, taylor swift baby guitar and confirms information system risk levels by combining with state estimation theory.In order to improve the calculating efficiency of the particle filtering algorithm, the k-means cluster algorithm is introduced to the particle filtering algorithm.By clustering all particles, the author regards centroid as the representative to operate, so bosch 4100 table saw motor replacement as to reduce calculated amount.

The empirical experience indicates that the method can embody the relation of mutual dependence and influence in risk elements reasonably.Under the circumstance of limited information, it provides the scientific basis on fabricating a risk management control strategy.