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Ensuring confidentiality and availability of sensitive data over a network system under cyber threats

机译:通过网络威胁下的网络系统确保敏感数据的机密性和可用性

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摘要

The online storage of sensitive data enjoys many benefits such as flexibility, cost-savings, scalability, and convenience but it also poses a big concern on the data confidentiality and availability. To ensure the confidentiality and availability of sensitive data over a network system, the data partition technique is often employed. We study the optimal data partition strategy over an arbitrary network under cyber threats. Both the outside attack and the risk propagation (i.e., inside attack) are considered for the data partition. The data breach probability and retrieve probability are discussed under both limited and unlimited risk propagation for various scenarios. It is discovered that the risk propagation can have much more impact on the optimal partition strategy than that of outside attacks, and the unlimited risk propagation leads to more severer cyber risk. The network topology significantly impacts the partition strategy which hints that the network topology should never be overlooked in practice. The corruption due to compromise can lead to different partition strategies. An optimal partition model is developed for determining the optimal strategy and the pareto non-dominated solutions are recommended for practical use.
机译:敏感数据的在线存储具有许多优势,例如灵活性,成本节约,可扩展性和便利性,但它对数据机密性和可用性也有很大的关切。为确保通过网络系统的敏感数据的机密性和可用性,通常采用数据分区技术。我们通过网络威胁下的任意网络研究最佳数据分区策略。外部攻击和风险传播(即,内部攻击)被考虑为数据分区。在各种场景的有限和无限的风险传播中讨论了数据漏斗概率和检索概率。发现风险传播可能对最佳分区策略产生更多的影响,而不是外部攻击,无限制的风险传播导致更严重的网络风险。网络拓扑显着影响分区策略,其中暗示网络拓扑在实践中永远不会被忽视。妥协导致的腐败可能导致不同的分区策略。开发了一个最佳分区模型,用于确定最佳策略,建议使用Pareto非主导解决方案进行实际使用。

著录项

  • 来源
    《Reliability Engineering & System Safety》 |2021年第10期|107697.1-107697.14|共14页
  • 作者单位

    Univ Sci & Technol China Dept Stat & Finance Hefei Peoples R China;

    Illinois State Univ Dept Math Normal IL 61761 USA;

    Nanjing Univ Aeronaut & Astronaut Coll Econ & Management Nanjing Peoples R China;

    Jiangsu Normal Univ Sch Math & Stat Xuzhou Jiangsu Peoples R China|Jiangsu Normal Univ RIMS Jiangsu Prov Key Lab Educ Big Data Sci & Engn Xuzhou Jiangsu Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Data partition; Optimal strategy; Outside attack; Risk propagation;

    机译:数据分区;最优策略;外部攻击;风险传播;

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