@article{4337,
  author = {Yonghui Ma},
  title = {Identifying Common Cause Failures using Score Data Mining},
  journal = {Journal of Digital Information Management},
  year = {2024},
  volume = {22},
  number = {4},
  doi = {https://10.6025/jdim/2024/22/4/137-142},
  url = {https://www.dline.info/fpaper/jdim/v22i4/jdimv22i4_4.pdf},
  abstract = {In this study, we employed 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.},
}