泄露概率情境下的个人数据隐私计量研究

doi:10.13266/j.issn.0252-3116.2021.09.007

图书情报工作 ›› 2021, Vol. 65 ›› Issue (9): 62-69.DOI: 10.13266/j.issn.0252-3116.2021.09.007

泄露概率情境下的个人数据隐私计量研究

张凯亮¹, 臧国全^2,3

1 郑州大学政治与公共管理学院郑州 450001;
2 郑州大学信息管理学院郑州 450001;
3 郑州市数据科学研究中心郑州 450001

收稿日期:2020-12-08 出版日期:2021-05-05 发布日期:2021-06-02
作者简介:张凯亮(ORCID:0000-0003-0454-0525),博士研究生,E-mail:779015223@qq.com;臧国全(ORCID:0000-0002-9606-6455),院长,教授,博士生导师。
基金资助:
本文系国家自然科学基金项目"数字保存的风险型元数据与风险监控研究"（项目编号：71673255）研究成果之一。

Measurement of Personal Data Privacy in the Context of Probability of Leakage

Zhang Kailiang¹, Zang Guoquan^2,3

1 School of Politics and Public Administration, Zhengzhou University, Zhengzhou 450001;
2 School of Information Management, Zhengzhou University, Zhengzhou 450001;
3 Research Institute of Data Science, Zhengzhou City, Zhengzhou 450001

Received:2020-12-08 Online:2021-05-05 Published:2021-06-02

摘要/Abstract

摘要： [目的/意义] 与确定泄露的情境相比，个人数据以一定概率泄露的情境更为普遍。由此计量泄露概率情境下的用户个人隐私价值，提出隐私计量的新视角，计量结果对隐私分级保护也具有实际意义。[方法/过程] 基于多级价格表的方法，计量用户的金融风险回报率；基于用户的金融风险回报率，改造多级价格表的实现机制，引导用户在无隐私泄露概率方案和存在隐私泄露概率的方案中做出决策，测度用户在一定泄露概率情境下对其个人数据的价值认知。[结果/结论] 在泄露概率为30%的情境下，用户对其社交网络中的个人数据隐私价值认知约为89.5元；同时，在泄露概率为100%的情境下以接受意愿和支付意愿体现的个人数据隐私价值分别为124.1和93.8元。表明用户在泄露概率情境下对其个人数据隐私价值的认知取决于个人数据隐私价值本身和用户对泄露概率风险容忍度两个方面。

关键词: 个人隐私, 泄露概率, 隐私价值, 多级价格表机制

Abstract: [Purpose/significance] Compared with the situation in which the probability of personal data leakage is 100 percent, the situation in which personal data is leaked with a certain probability is more common. Thus, this paper aims to measure users' personal data privacy value under the certain probability of privacy leakage, which puts forward a new perspective of privacy measurement and the measurement results are of practical significance to privacy classification protection.[Method/process] Based on the multiple price list, the user's return on financial risk is measured. Modified the implementation mechanism of multiple price list to elicit users' decisions between the risk-free scheme and the scheme with the probability of privacy leakage. Based on the above steps, value of privacy under leakage probability of users can be measured.[Result/conclusion] When the probability of privacy leakage is 30%, users' average VPLP in the social networks is about RMB 89.5; at the same time, when the probability of privacy leakage is 100%, users' average "willing to accept" and "willing to pay" of personal data in the social networks is about RMB 124.1 and RMB 93.8. Users' VPLP depends on the value of personal privacy itself and probability of privacy leakage.

Key words: personal privacy, leakage probability, privacy value, multiple price list mechanism

中图分类号:

G251

张凯亮, 臧国全. 泄露概率情境下的个人数据隐私计量研究[J]. 图书情报工作, 2021, 65(9): 62-69.

Zhang Kailiang, Zang Guoquan. Measurement of Personal Data Privacy in the Context of Probability of Leakage[J]. Library and Information Service, 2021, 65(9): 62-69.

参考文献

[1] 新华网.华住5亿条用户信息疑泄露警方已介入调查[EB/OL].[2020-11-12]. http://www.xinhuanet.com/fortune/2018-08/29/c_1123343927.htm.
[2] 搜狐网.LinkedIn遭黑客攻击,约1.59亿用户数据被窃[EB/OL].[2020-11-12]. https://m.sohu.com/a/292645813_557054.
[3] HANN I H, HUI K L, LEE T, et al. Online information privacy:measuring the cost-benefit tradeoff[C]//Proceedings of the international conference on information systems 2002. Illinois:AIS elibrary, 2002.
[4] ACQUISTI A, GROSSKLAGS J. An online survey experiment on ambiguity and privacy[J]. Communications & strategies, 2012, 1(88):19-39.
[5] POTOGLOU D, PATIL S, GIJON C, et al. The value of personal information online:results from three stated preference discrete choice experiments in the UK[C]//Proceedings of the 21th European conference on information systems. Netherlands:ECIS Press, 2013.
[6] LIM S, WOO J R, LEE J, et al. Consumer valuation of personal information in the age of big data[J]. Journal of the Association for Information Science and Technology, 2018, 69(1):60-71.
[7] 邓胜利,赵海平.信息泄露情境下的个人信息价值评估及个体差异:基于离散选择模型的实证研究[J].情报学报,2019,38(3):266-276.
[8] GROSSKLAGS J, ACQUISTI A, HEINZ H J. When 25 cents is too much:an experiment on willingness-to-sell and willingness-to-protect personal information[C]//Proceedings of the 6th annual workshop on the economics of information security. Cambridge:WEIS Press, 2007.
[9] 黄逸珺,陆桐,闫强.电子商务网站个人信息价值评估[J].北京邮电大学学报(社会科学版),2017(5):33-41.
[10] HUBERMAN B A, ADER E, FINE L R. Valuating privacy[J]. IEEE security & privacy, 2005,3(5):22-25.
[11] 臧国全,张凯亮,闫励.个人数据价值计量研究——基于改造的BDM机制[J].图书情报工作,2020, 64(7):103-109.
[12] KRASNOVA H, HILDEBRAND T, GUNTHER O. Investigating the value of privacy in online social networks:conjoint analysis[C]//Proceedings of the international conference on information systems. Phoenix:ICIS Press, 2009.
[13] KIM J, NAM C, KIM S. The economic value of personal information and policy implication[C]//Proceedings of the 26th European regional ITS conference. Los Angeles:ITS Press, 2015.
[14] PU Y, GROSSKLAGS J. Towards a model on the factors influencing social app users' valuation of interdependent privacy[J]. Processing on privacy enhancing technologies, 2016(2):61-81.
[15] TSAI J Y, EGELMAN S, CRANOR L, et al. The effect of online privacy information on purchasing behavior:an experimental study[J]. Information systems research, 2011, 22(2):254-268.
[16] BERESFORD A R, KUEBLER D, PREIBUSCH S. Unwillingness to pay for privacy:a field experiment[J]. Economics letters, 2012, 117(1):25-27.
[17] EGELMAN S, FELT A P, WAGNER D. Choice architecture and smartphone privacy:there's a price for that[M]. The economics of information security and privacy. Heidelberg:Springer, 2013.
[18] KRASNOVA H, ELING N, ABRAMOVA O, et al. Dangers of "Facebook login" for mobile apps:is there a price tag for social information?[C]//Thirty fifth international conference on information systems. Auckland:ICIS Press,2014.
[19] KIM J E, YEO J. Valuation of consumers' personal information:a south Korean example[J]. Journal of family and economic issues, 2010, 31(3):297-306.
[20] OTSUKI M, SONEHARA N. Estimating the value of personal information with SNS utility[C]//Proceedings of the eighth international conference on availability, reliability and security. Los Alamitos:IEEE Computer Society Press, 2013.
[21] DANEZIS G, LEWIS S, ANDERSON R. How much is location privacy worth?[C]//Proceedings of the fourth workshop on the economics of information security. Cambridge:WEIS Press, 2005.
[22] SPIEKERMANN S, KORUNOVSKA J, BAUER C. Psychology of ownership and asset defense:why people value their personal information beyond privacy[C]//Proceedings of the international conference on information systems. New York:ACM Press, 2012.
[23] 百度汉语.风险[EB/OL].[2020-11-13]. https://hanyu.baidu.com/zici.
[24] BINSWANGER H P. Attitudes toward risk:experimental measurement in rural India[J]. American journal of agricultural economics, 1980, 62(3):395-407.
[25] BECKER G M, DEGROOT M H, MARSCHAK J. Measuring utility by a single response sequential method[J]. Behavioral science,1964,9(3):226-232.
[26] LAWRENCE N W.社会研究方法:定性和定量的取向[M].郝大海,译.北京:中国人民大学出版社, 2000.
[27] KAHNEMAN D, TVERSKY K A. Prospect theory:an analysis of decision under risk[J]. Econometrica, 1979, 47(2):263-291.
[28] 陈蓉,王宜峰,邱紫华.隐含风险厌恶:度量、影响因素与信息含量[J].厦门大学学报,2016(1):116-127.
[29] ACQUISTI A, TAYLOR R, WAGMAN L. The economics of privacy[J]. Journal of economic literature, 2016, 54(2):442-492.
[30] GRAEFF T R, HARMON S. Collecting and using personal data:consumers' awareness and concerns[J] Journal of consumer marketing, 2002, 19(4):302-318.
[31] LEWIS K, KAUFMAN J, CHRISTAKIS N. The taste for privacy:an analysis of college student privacy settings in an online social network[J]. Journal of computer-mediated communication, 2008, 14(1):79-100.
[32] PREIBUSCH S. Guide to measuring privacy concern:review of survey and observational instruments[J]. International journal of human-computer studies, 2013, 71(12):1133-1143.

泄露概率情境下的个人数据隐私计量研究

Measurement of Personal Data Privacy in the Context of Probability of Leakage

PDF

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 7

编辑推荐

Metrics

[1]	臧国全, 王家振, 毕崇武, 耿瑞利. 政府数据中敏感数据识别与隐私计量研究[J]. 图书情报工作, 2022, 66(15): 66-75.
[2]	孙瑞英, 李杰茹. 我国政府数据开放平台个人隐私保护政策评价研究[J]. 图书情报工作, 2022, 66(12): 3-16.
[3]	储节旺, 丁辉. 美国政府开放数据个人隐私保护政策及对我国的启示——基于52个政策文本的内容分析[J]. 图书情报工作, 2021, 65(8): 140-150.
[4]	陈朝兵, 郝文强. 国内外政府数据开放中的个人隐私保护研究述评[J]. 图书情报工作, 2020, 64(8): 141-150.
[5]	臧国全, 周晓倩. 社交网络中关联隐私的价值计量与分析[J]. 图书情报工作, 2020, 64(14): 85-93.
[6]	相甍甍, 王晰巍, 贾若男, 王雷. 移动商务中消费者个人隐私信息披露风险评价体系[J]. 图书情报工作, 2018, 62(18): 34-44.
[7]	孟晓明, 张军, 谢少群. 个人隐私信息安全现状调查与分析[J]. 图书情报工作, 2012, 56(21): 72-76.