移动商务中消费者个人隐私信息披露风险评价体系
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摘要
[目的/意义]移动商务消费者个人隐私信息披露风险评价对了解消费者个人隐私披露行为、提高平台和商家对消费者隐私信息安全保护具有重要作用。[方法/过程]结合移动商务特点,在梳理相关研究文献和运用问卷调查的基础上,构建移动商务消费者个人隐私信息披露的风险指标体系,采用模糊综合评价方法确定评价指标的权重,并结合淘宝APP进行实证分析。[结果/结论]数据结果表明,消费者自身脆弱风险相对于其他指标风险性最大,移动终端脆弱风险权重分值最低;同时消费者自身安全意识淡薄所占权重最大,说明提高消费者自身的隐私安全意识是保护消费者隐私信息安全最为重要的方面。
[Purpose/significance] The risk assessment of consumer privacy disclosure in mobile commerce has an important impact on the follow aspects: understanding consumer privacy disclosure behaviors,improving the protection of consumers' privacy information by platforms and businesses. [Method/process]Firstly,according to the characteristics of mobile commerce,this paper built a risk index system of personal privacy information disclosure of mobile commerce consumers. Then,though the fuzzy comprehensive evaluation method,this paper evaluated the risk of consumer privacy disclosure in mobile commerce. Finally,it made an empirical analysis based on Taobao APP. [Result/conclusion] The data result shows that consumer vulnerability risk is the biggest cause of consumer privacy disclosure risk,and the mobile terminal vulnerability risk is the lowest. At the same time,the weight of consumer safety awareness is the largest,this indicates that improving consumers' privacy awareness is the most important aspect to protect the privacy information security of consumers.
[Purpose/significance] The risk assessment of consumer privacy disclosure in mobile commerce has an important impact on the follow aspects: understanding consumer privacy disclosure behaviors,improving the protection of consumers' privacy information by platforms and businesses. [Method/process]Firstly,according to the characteristics of mobile commerce,this paper built a risk index system of personal privacy information disclosure of mobile commerce consumers. Then,though the fuzzy comprehensive evaluation method,this paper evaluated the risk of consumer privacy disclosure in mobile commerce. Finally,it made an empirical analysis based on Taobao APP. [Result/conclusion] The data result shows that consumer vulnerability risk is the biggest cause of consumer privacy disclosure risk,and the mobile terminal vulnerability risk is the lowest. At the same time,the weight of consumer safety awareness is the largest,this indicates that improving consumers' privacy awareness is the most important aspect to protect the privacy information security of consumers.
引文
[1]必胜客被黑致六万用户信息泄露个人数据安全如何保障?[EB/OL].[2017-10-20].http://sh.qihoo.com/pc/detail?check=30f997d3de1f6669&sign=360_e39369d1&url=http://www.csdn.net/article/a/2017-10-20/15828374.
[2]WANG T,DUONG T D,CHEN C C.Intention to disclose personal information via mobile applications:a privacy calculus perspective[J].International journal of information management,2016,36(4):531-542.
[3]HAJLI N,LIN X.Exploring the security of information sharing on social networking sites:the role of perceived control of information[J].Journal of business ethics,2016,133(1):111-123.
[4]肖海清.电商个性化推荐采纳中用户隐私风险感知的影响因素分析[D].武汉:华中师范大学,2015.
[5]FOGEL J,NEHMAD E.Internet social network communities:Risk taking,trust,and privacy concerns[J].Computers in human behavior,2009,25(1):153-160.
[6]MATT C,PECKELSEN P.Sweet idleness,but why?How cognitive factors and personality traits affect privacy-protective behavior[C]//System Sciences(HICSS),U.S.A:2016 49th Hawaii international conference on.Washington:IEEE Computer Society,2016:4832-4841.
[7]朱光,崔维军,张薇薇.信息生命周期视角下的大数据隐私风险管理框架研究[J].情报资料工作,2016,36(1):99-103.
[8]迪莉娅.大数据环境下隐私泄露影响评估研究[J].情报杂志,2016(4):141-146.
[9]WU T,GANG Z.A new security and privacy risk assessment model for information system considering influence relation of risk elements[C]//Broadband and Wireless Computing,Communication and Applications(BWCCA),2014 Ninth International Conference.Washington:IEEE Computer Society,2014:233-238.
[10]FRIGINAL J,GUIOCHET J,KILLIJIAN M O.Towards a privacy risk assessment methodology for location-based systems[C]//International conference on mobile and ubiquitous systems:computing,networking,and services.Japan:Springer,Cham,2013:748-753.
[11]JIANG R,LUO J,WANG X.An attack tree based risk assessment for location privacy in wireless sensor networks[C]//Wireless communications,networking and mobile computing(Wi COM),China:2012 8th International conference on.Washington:IEEE Computer Society,2012:1-4.
[12]王侃.基于证据理论的移动商务交易风险评估与控制决策研究[D].武汉:华中科技大学,2009.
[13]张秋瑾.云计算隐私安全风险评估[D].昆明:云南大学,2015.
[14]邝青青.基于个人隐私泄露的风险评估[D].贵阳:贵州大学,2016.
[15]朱光,丰米宁,陈叶,等.大数据环境下社交网络隐私风险的模糊评估研究[J].情报科学,2016,34(9):94-98.
[16]朱义杰.基于位置服务中的隐私泄露风险分析与评估[D].贵阳:贵州大学,2016.
[17]陈鍊,胡作进,蔡淑珍.信息系统安全风险评估模型研究[J].计算机应用与软件,2007,24(6):73-77.
[18]中文互联网数据咨询中心.2013移动隐私安全评测报告[EB/OL].[2017-12-13].http://www.199it.com/archives/99542.html.
[19]张丞.移动互联网隐私泄露研究[D].北京:北京邮电大学,2012.
[20]邱均平,李艳红.社交网络中用户隐私安全问题探究[J].情报资料工作,2012,33(6):34-38.
[21]陈云海,黄兰秋.大数据处理对电子商务的影响研究[J].电信科学,2017,29(3):17-21.
[22]ISO/IEC 17799.Information technology-Code of practice for information security management.Switzerland:International Organization for Standardization(ISO)[EB/OL].[2017-11-20].http://bastille-linux.sourceforge.net/jay/iso.pdf.
[23]WU Y,FENG G,WANG N,et al.Game of information security investment:impact of attack types and network vulnerability[J].Expert systems with applications,2015,42(15/16):6132-6146.
[24]吴明隆.结构方程模型:AMOS的操作与应用[M].重庆:重庆大学出版社,2009.
[25]艾瑞咨询.《2017年中国移动电商行业研究报告》[EB/OL].[2017-02-20].http://www.askci.com/news/hlw/20170313/10453493170.shtml.
[26]王晰巍,李嘉兴,杨梦晴,等.移动社交软件隐私安全对使用意愿的影响因素研究[J].图书情报工作,2016,60(15):21-27.
[2]WANG T,DUONG T D,CHEN C C.Intention to disclose personal information via mobile applications:a privacy calculus perspective[J].International journal of information management,2016,36(4):531-542.
[3]HAJLI N,LIN X.Exploring the security of information sharing on social networking sites:the role of perceived control of information[J].Journal of business ethics,2016,133(1):111-123.
[4]肖海清.电商个性化推荐采纳中用户隐私风险感知的影响因素分析[D].武汉:华中师范大学,2015.
[5]FOGEL J,NEHMAD E.Internet social network communities:Risk taking,trust,and privacy concerns[J].Computers in human behavior,2009,25(1):153-160.
[6]MATT C,PECKELSEN P.Sweet idleness,but why?How cognitive factors and personality traits affect privacy-protective behavior[C]//System Sciences(HICSS),U.S.A:2016 49th Hawaii international conference on.Washington:IEEE Computer Society,2016:4832-4841.
[7]朱光,崔维军,张薇薇.信息生命周期视角下的大数据隐私风险管理框架研究[J].情报资料工作,2016,36(1):99-103.
[8]迪莉娅.大数据环境下隐私泄露影响评估研究[J].情报杂志,2016(4):141-146.
[9]WU T,GANG Z.A new security and privacy risk assessment model for information system considering influence relation of risk elements[C]//Broadband and Wireless Computing,Communication and Applications(BWCCA),2014 Ninth International Conference.Washington:IEEE Computer Society,2014:233-238.
[10]FRIGINAL J,GUIOCHET J,KILLIJIAN M O.Towards a privacy risk assessment methodology for location-based systems[C]//International conference on mobile and ubiquitous systems:computing,networking,and services.Japan:Springer,Cham,2013:748-753.
[11]JIANG R,LUO J,WANG X.An attack tree based risk assessment for location privacy in wireless sensor networks[C]//Wireless communications,networking and mobile computing(Wi COM),China:2012 8th International conference on.Washington:IEEE Computer Society,2012:1-4.
[12]王侃.基于证据理论的移动商务交易风险评估与控制决策研究[D].武汉:华中科技大学,2009.
[13]张秋瑾.云计算隐私安全风险评估[D].昆明:云南大学,2015.
[14]邝青青.基于个人隐私泄露的风险评估[D].贵阳:贵州大学,2016.
[15]朱光,丰米宁,陈叶,等.大数据环境下社交网络隐私风险的模糊评估研究[J].情报科学,2016,34(9):94-98.
[16]朱义杰.基于位置服务中的隐私泄露风险分析与评估[D].贵阳:贵州大学,2016.
[17]陈鍊,胡作进,蔡淑珍.信息系统安全风险评估模型研究[J].计算机应用与软件,2007,24(6):73-77.
[18]中文互联网数据咨询中心.2013移动隐私安全评测报告[EB/OL].[2017-12-13].http://www.199it.com/archives/99542.html.
[19]张丞.移动互联网隐私泄露研究[D].北京:北京邮电大学,2012.
[20]邱均平,李艳红.社交网络中用户隐私安全问题探究[J].情报资料工作,2012,33(6):34-38.
[21]陈云海,黄兰秋.大数据处理对电子商务的影响研究[J].电信科学,2017,29(3):17-21.
[22]ISO/IEC 17799.Information technology-Code of practice for information security management.Switzerland:International Organization for Standardization(ISO)[EB/OL].[2017-11-20].http://bastille-linux.sourceforge.net/jay/iso.pdf.
[23]WU Y,FENG G,WANG N,et al.Game of information security investment:impact of attack types and network vulnerability[J].Expert systems with applications,2015,42(15/16):6132-6146.
[24]吴明隆.结构方程模型:AMOS的操作与应用[M].重庆:重庆大学出版社,2009.
[25]艾瑞咨询.《2017年中国移动电商行业研究报告》[EB/OL].[2017-02-20].http://www.askci.com/news/hlw/20170313/10453493170.shtml.
[26]王晰巍,李嘉兴,杨梦晴,等.移动社交软件隐私安全对使用意愿的影响因素研究[J].图书情报工作,2016,60(15):21-27.