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

被引:1
|
作者
Zhang, Qian [1 ]
Xie, Weihong [2 ]
Pan, Xinxian [2 ]
机构
[1] Guangdong Univ Technol, Sch Management, Guangzhou, Peoples R China
[2] Guangdong Univ Technol, Sch Econ & Commerce, Guangzhou, Peoples R China
关键词
internet of things (loT); smart logistics; express companies; privacy policy evaluation; cloud model; INTERNET; ONLINE; TRUST; INTENTION; THINGS; READ; BIG;
D O I
10.1109/CSP55486.2022.00012
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页码:21 / 26
页数:6
相关论文
共 50 条
  • [1] Natural Language Processing and Deep Learning Based Techniques for Evaluation of Companies' Privacy Policies
    John, Saka
    Ajayi, Binyamin Adeniyi
    Marafa, Samaila Musa
    COMPUTATIONAL SCIENCE AND ITS APPLICATIONS, ICCSA 2022 WORKSHOPS, PT I, 2022, 13377 : 15 - 32
  • [2] Study on Service Quality Evaluation of Express Companies Based on Customer Satisfaction
    Chen, Hongqi
    Chen, Ying
    Li, Xiaoxia
    2014 INTERNATIONAL CONFERENCE ON ECONOMICS AND MANAGEMENT, 2014, : 478 - 484
  • [3] Implementing Privacy Policies in the Cloud
    Caimi, Claudio
    D'Errico, Michela
    Gambardella, Carmela
    Manea, Mirko
    Wainwright, Nick
    CYBER SECURITY AND PRIVACY, CSP INNOVATION FORUM 2015, 2015, 530 : 3 - 13
  • [4] On GDPR Compliance of Companies' Privacy Policies
    Mueller, Nicolas M.
    Kowatsch, Daniel
    Debus, Pascal
    Mirdita, Donika
    Boettinger, Konstantin
    TEXT, SPEECH, AND DIALOGUE (TSD 2019), 2019, 11697 : 151 - 159
  • [5] Cloud service evaluation model based on trust and privacy-aware
    Wang, Yubiao
    Wen, Junhao
    Wang, Xibin
    Zhou, Wei
    OPTIK, 2017, 134 : 269 - 279
  • [6] Cloud privacy: an empirical study of 20 cloud providers' terms and privacy policies-Part I
    Kamarinou, Dimitra
    Millard, Christopher
    Hon, W. Kuan
    INTERNATIONAL DATA PRIVACY LAW, 2016, 6 (02) : 79 - 101
  • [7] Cloud privacy: an empirical study of 20 cloud providers' terms and privacy policies-Part II
    Kamarinou, Dimitra
    Millard, Christopher
    Hon, W. Kuan
    INTERNATIONAL DATA PRIVACY LAW, 2016, 6 (03) : 170 - 194
  • [8] Monitoring and Checking Privacy Policies of Cloud Services Based on Models
    Schmieders, Eric
    SERVICE-ORIENTED COMPUTING - ICSOC 2014 WORKSHOPS, 2015, 8954 : 392 - 398
  • [9] A model-based approach for multi-level privacy policies derivation for cloud services
    Ghorbel A.
    Ghorbel M.
    Jmaiel M.
    International Journal of Security and Networks, 2021, 16 (01) : 12 - 27
  • [10] Comparing Privacy Policies of Government Agencies and Companies: A Study using Machine-learning-based Privacy Policy Analysis Tools
    Zaeem, Razieh Nokhbeh
    Barber, K. Suzanne
    ICAART: PROCEEDINGS OF THE 13TH INTERNATIONAL CONFERENCE ON AGENTS AND ARTIFICIAL INTELLIGENCE - VOL 2, 2021, : 29 - 40