偏联系数隐私风险态势评估方法

doi:10.3778/j.issn.1002-8331.1612-0444

计算机工程与应用 ›› 2018, Vol. 54 ›› Issue (10): 143-148.DOI: 10.3778/j.issn.1002-8331.1612-0444

偏联系数隐私风险态势评估方法

晏燕1，2，王万军3

1.兰州理工大学电气工程与信息工程学院，兰州 730050
2.兰州理工大学计算机与通信学院，兰州 730050
3.兰州文理学院数字媒体学院，兰州 730000

出版日期:2018-05-15 发布日期:2018-05-28

Privacy risk situation assessment method based on partial connection numbers

YAN Yan1，2, WANG Wanjun3

1.School of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou 730050, China
2.School of Computer and Communication, Lanzhou University of Technology, Lanzhou 730050, China
3.College of Digital Media, Lanzhou University of Arts and Science, Lanzhou 730000, China

Online:2018-05-15 Published:2018-05-28

摘要/Abstract

摘要： 针对数据隐私保护风险评估问题，利用集对分析的五元偏联系数理论，为隐私风险待评估指标建立了集对分析评估系统。采用最小二偏赋权方法确定评估指标的权重，并运用五元联系数对隐私评估指标进行分阶偏处理，对各阶偏联系数进行势态计算并分析趋势走向，实现对隐私风险态势的评估。该方法能够对隐私风险评估指标进行动态的体现，有效消除了隐私风险评估过程中不确定、模糊、随机等误差因素的干扰和不良影响。通过实例分析了该方法的可行性和有效性。

关键词: 隐私风险, 态势评估, 五元偏联系数, 最小二偏赋权

Abstract: In view of the problem of privacy risk situation assessment, a set pair analysis assessment system is set up for privacy risk indicators based on the theory of five-element partial connection numbers. The weights of assessment indicators are determined by the method of least squares partial weighting. Partial differential processes are carried out on different stages by using the theory of five-element connection numbers. Potential values and trends are calculated and analyzed for partial connection numbers on different stages in order to realize situation assessment of privacy risk. The proposed method can dynamically reflect privacy risk assessment indicators and effectively eliminate interference and adverse effects caused by uncertainty, vagueness and randomness during the process of privacy risk assessment. Finally, some examples are given to analyze the feasibility and effectiveness of the proposed method.

Key words: privacy risk, situation assessment, five-element partial connection numbers, least squares partial weighting

晏燕1，2，王万军3. 偏联系数隐私风险态势评估方法[J]. 计算机工程与应用, 2018, 54(10): 143-148.

YAN Yan1，2, WANG Wanjun3. Privacy risk situation assessment method based on partial connection numbers[J]. Computer Engineering and Applications, 2018, 54(10): 143-148.

[1]	张玉臣，张任川，刘璟，汪永伟. 应用深度自编码网络的网络安全态势评估[J]. 计算机工程与应用, 2020, 56(6): 92-98.
[2]	石乐义，刘佳，刘祎豪，朱红强，段鹏飞. 网络安全态势感知研究综述[J]. 计算机工程与应用, 2019, 55(24): 1-9.
[3]	刘世文，司成，张红旗. 一种细粒度的网络威胁态势评估方法[J]. 计算机工程与应用, 2018, 54(10): 149-153.
[4]	章宜玉，杨清. 基于模糊层次算法的移动互联网安全态势评估研究[J]. 计算机工程与应用, 2016, 52(24): 107-111.
[5]	蒙小飞，杜海文，封普文. 基于高斯云贝叶斯网络的空战态势评估[J]. 计算机工程与应用, 2016, 52(15): 249-253.
[6]	陈虹1，王飞1，肖振久1，2，孙丽娜1. 一种融合多源数据的网络安全态势评估模型[J]. 计算机工程与应用, 2015, 51(17): 96-101.
[7]	孙飞显. 一种受危险理论启发的网络攻击态势评估方法[J]. 计算机工程与应用, 2012, 48(2): 8-10.
[8]	吴志刚，苏安婕，王文奇. 引入交叉确认机制的安全态势评估模型[J]. 计算机工程与应用, 2011, 47(28): 106-109.
[9]	冯学伟，王东霞，马国庆，李津. 网络安全态势感知中态势评估关键技术研究[J]. 计算机工程与应用, 2011, 47(19): 88-92.
[10]	李珂^1，3，连一峰^1，2，3. 一种面向DDoS攻击的网络安全态势评估方法[J]. 计算机工程与应用, 2009, 45(27): 88-91.
[11]	赵鹏宇,刘丰,张宏莉,王爽. 大规模网络安全态势评估系统[J]. 计算机工程与应用, 2008, 44(33): 122-124.
[12]	刘炜,刘鲁. 基于模糊模式识别和D-S证据理论的安全态势估计 [J]. 计算机工程与应用, 2006, 42(22期): 20-.

偏联系数隐私风险态势评估方法

Privacy risk situation assessment method based on partial connection numbers

PDF

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 12

编辑推荐

Metrics