@article{4395,
  author = {Yonghui Ma},
  title = {Data Mining-based Calculation and Comparative Analysis of Common Cause Failure Score for System Security},
  journal = {Journal of Information Security Research},
  year = {2025},
  volume = {16},
  number = {1},
  doi = {https://doi.org/10.6025/jisr/2025/16/1/9-16},
  url = {https://www.dline.info/jisr/fulltext/v16n1/jisrv16n1_2.pdf},
  abstract = {In this study, we employed a novel technique, data mining, to accurately evaluate the failure rate of secure
computers, providing valuable data information for our decision-making layer. This technique is beneficial
not only for our decision-making but also for the long-term operation of our systems. Through in-depth analysis,
we discovered inherent connections among various failure events and their mutual impacts. These findings
contribute to a deeper understanding of common cause failures in secure computer systems and prepare
for enhancing their security. Establishing a robust information system is essential to meet the increasing demands,
especially in the complex internet environment where secure digital computer systems face ever-growing
challenges.},
}