<?xml version="1.0" encoding="UTF-8"?>
<record>
  <title>Data Mining-based Calculation and Comparative Analysis of Common Cause Failure Score for System Security</title>
  <journal>Journal of Information Security Research</journal>
  <author>Yonghui Ma</author>
  <volume>16</volume>
  <issue>1</issue>
  <year>2025</year>
  <doi>https://doi.org/10.6025/jisr/2025/16/1/9-16</doi>
  <url>https://www.dline.info/jisr/fulltext/v16n1/jisrv16n1_2.pdf</url>
  <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.</abstract>
</record>
