Research Article
System Business Affecting Impact Analysis Method with Crossover Probability Theory
@INPROCEEDINGS{10.1007/978-3-030-96791-8_18, author={Lixia Xie and Yijia Zhang and Hongyu Yang and Liang Zhang}, title={System Business Affecting Impact Analysis Method with Crossover Probability Theory}, proceedings={Security and Privacy in New Computing Environments. 4th EAI International Conference, SPNCE 2021, Virtual Event, December 10-11, 2021, Proceedings}, proceedings_a={SPNCE}, year={2022}, month={3}, keywords={Information system Business affecting impact Crossover probability theory Preference chain}, doi={10.1007/978-3-030-96791-8_18} }- Lixia Xie
Yijia Zhang
Hongyu Yang
Liang Zhang
Year: 2022
System Business Affecting Impact Analysis Method with Crossover Probability Theory
SPNCE
Springer
DOI: 10.1007/978-3-030-96791-8_18
Abstract
In view of the lack of scale calibration and the influence of expert evaluation preference on the analysis results of information system business impact analysis, an analysis method of system business affecting impact based on crossover probability theory is proposed. Firstly, the experts evaluate the relevance and influence of the business functions of the information system. Then quantify the correlation between system business functions, and generate a comprehensive cross impact matrix. Finally, the preference chain generation algorithm is used to generate the business preference chain of information system, and the interaction relationship of each business of the system is associated. The experiment shows that this method can accurately measure the extent and trend of business interruption affecting other information system businesses.
