中国民航大学学报 ›› 2024, Vol. 42 ›› Issue (6): 9-16.

• 民机安全性与适航 • 上一篇    下一篇

基于多维云模型和熵理论的机载娱乐系统安全风险评估

王 静 a,b ,漆书凡 c ,李 国 c
  

  1. 中国民航大学 a. 安全科学与工程学院;b. 信息安全测评中心;c. 计算机科学与技术学院, 天津 300300
  • 收稿日期:2023-03-07 修回日期:2023-05-13 出版日期:2025-04-08 发布日期:2025-04-08
  • 作者简介:王静(1980— ),女,山西太谷人,副教授,博士,研究方向为网络安全、智能运维、大数据民航应用
  • 基金资助:
    国家自然科学基金民航联合基金重点项目(U2033205, U2233214);中国民航大学信息安全测评中心开放基金资助项目(ISECCA-202006)

Security risk assessment of airborne entertainment system based on
multidimensional cloud model and entropy theory

WANG Jinga,b , QI Shufanc , LI Guoc
  

  1. a. College of Safety Science and Engineering; b. Information Security Evaluation Center;
    c. College of Computer Science and Technology, CAUC, Tianjin 300300, China
  • Received:2023-03-07 Revised:2023-05-13 Online:2025-04-08 Published:2025-04-08

摘要:

针对现有机载娱乐系统风险评估方法存在一定的不确定性、随机性和模糊性,其评估指标也具有很强的主
观性,导致评估结果不够准确和客观等问题,本文提出一种基于多维云模型和熵理论的机载娱乐系统风险
评估方法。 首先使用更为全面、细粒度和客观的系统漏洞作为评估指标,并基于该指标数据生成多维云模
型图,直观展现不同风险的隶属度大小;然后结合安全事件发生的可能性及安全事件损失的可能性来计算
整个核心组件的风险值,并与风险对照表进行比较得出整个系统的风险评估结果。 多次实验结果表明,本文
方法的评估结果具有更好的稳定性、准确性和客观性。

关键词:

Abstract:

In response to the certain uncertainty, randomness, and fuzziness of existing risk assessment methods of airborne
entertainment system, as well as the strong subjectivity of their evaluation indicators, which leads to inaccurate and
non-objective evaluation results, this paper proposes a risk assessment method of airborne entertainment system
based on multidimensional cloud model and entropy theory. Firstly, more comprehensive, fine-grained, and objective system vulnerabilities are used as evaluation indicators, and based on this indicator data, a multidimensional
cloud model graph is generated to visually display the membership degree of different risks. Then, the risk value of
the entire core component is calculated based on the probability of security events occurring and the probability of
security events losses. And compared with the risk comparison table, the risk assessment result of the entire system
is obtained. Multiple experimental results have shown that the evaluation results of the proposed method in this paper have better stability, accuracy, and objectivity.

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