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<record>
  <title>Identifying Common Cause Failures using Score Data Mining</title>
  <journal>Journal of Digital Information Management</journal>
  <author>Yonghui Ma</author>
  <volume>22</volume>
  <issue>4</issue>
  <year>2024</year>
  <doi>https://10.6025/jdim/2024/22/4/137-142</doi>
  <url>https://www.dline.info/fpaper/jdim/v22i4/jdimv22i4_4.pdf</url>
  <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.</abstract>
</record>
