Evaluation Study on Privacy Policies of Express Companies Based on Cloud Model

Qian Zhang, W. Xie, Xinxiang Pan
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Abstract

In the era of the Internet of things (IoT), smart logistics is quietly rising, but user privacy security has become an important factor hindering its development. Because privacy policy plays a positive role in protecting user privacy and improving corporate reputation, it has become an important part of smart logistics and the focus of express companies. In this paper, through the construction of the privacy policy evaluation index system of express companies, aiming at qualitative indicators that are difficult to evaluate, we introduce the cloud model evaluation method that can combine the qualitative and quantitative together, and comprehensively evaluate the privacy policy of five express companies in China from four indicators: general situation, user informed consent, information security control and personal rights protection. The results show that: Overall, the privacy policies of the five express companies have not reached the "good" level, and there is a certain gap between the privacy policies of different express companies. From the comparison of indicators, the five express companies generally score relatively good; However, the overall score of information security control index is relatively poor, and the other two indexes are quite different. Cloud model evaluation method has strong applicability for the evaluation of express company privacy policy, which provides a reference for improving the privacy policy formulation and improving the privacy protection level of China’s express delivery industry in the era of IoT.
基于云模型的快递公司隐私政策评价研究
在物联网(IoT)时代,智能物流正在悄然兴起,但用户隐私安全已成为阻碍其发展的重要因素。由于隐私政策在保护用户隐私和提高企业声誉方面发挥了积极的作用,因此它已成为智能物流的重要组成部分和快递公司关注的焦点。本文通过构建快递公司隐私政策评价指标体系,针对定性指标难以评价的问题,引入定性与定量相结合的云模型评价方法,从一般情况、用户知情同意、信息安全控制、个人权益保护四个指标对中国五家快递公司的隐私政策进行综合评价。结果表明:总体而言,五家快递公司的隐私政策均未达到“良好”水平,不同快递公司的隐私政策之间存在一定差距。从指标比较来看,五家快递公司总体得分相对较好;但信息安全控制指标总体得分较差,其他两个指标差异较大。云模型评价方法对快递公司隐私政策评价具有较强的适用性,为完善隐私政策制定,提高物联网时代中国快递行业隐私保护水平提供参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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