Data quality, sensitive data and joint controllership as examples of grey areas in the existing data protection framework for the Internet of Things

被引:10
|
作者
Makinen, Jenna [1 ]
机构
[1] Univ Helsinki, Fac Law, PL 4 Yliopistonkatu 3, FIN-00014 Helsinki, Finland
关键词
data protection; privacy; Internet of Things; smart devices; joint controllership; sensitive data; data quality;
D O I
10.1080/13600834.2015.1091128
中图分类号
D9 [法律]; DF [法律];
学科分类号
0301 ;
摘要
The technology used to provide connectivity from anytime, any place and for anyone. Now anything can be added to the list.'(1) In the Internet of Things ('IoT'), the amount of individuals' data collected and processed is increasing substantially as data are being collected from various sources. Most communications between smart devices occur automatically, potentially without the user being aware of it. Many questions arise around the vulnerability of the devices in the IoT, often deployed outside a traditional IT structure and lacking sufficient built-in security. The IoT demands consideration and research into how to best balance the opportunities that the IoT affords against legal risks it imposes on data protection. Considerable questions about how our currently existing EU framework for protection of personal data applies in IoT are being raised. The data protection legislation needs to move from theory to practice and in order to achieve this; the legal framework may need additional mechanisms.
引用
收藏
页码:262 / 277
页数:16
相关论文
共 50 条
  • [1] Internet of the Things and Data Protection
    Jervis Ortiz, Paula
    [J]. REVISTA CHILENA DE DERECHO Y TECNOLOGIA, 2015, 4 (02): : 9 - 51
  • [2] Data quality and the Internet of Things
    Caihua Liu
    Patrick Nitschke
    Susan P. Williams
    Didar Zowghi
    [J]. Computing, 2020, 102 : 573 - 599
  • [3] Data quality and the Internet of Things
    Liu, Caihua
    Nitschke, Patrick
    Williams, Susan P.
    Zowghi, Didar
    [J]. COMPUTING, 2020, 102 (02) : 573 - 599
  • [4] Data Quality Management in the Internet of Things
    Zhang, Lina
    Jeong, Dongwon
    Lee, Sukhoon
    [J]. SENSORS, 2021, 21 (17)
  • [5] A model-driven framework for data quality management in the Internet of Things
    Aimad Karkouch
    Hajar Mousannif
    Hassan Al Moatassime
    Thomas Noel
    [J]. Journal of Ambient Intelligence and Humanized Computing, 2018, 9 : 977 - 998
  • [6] A model-driven framework for data quality management in the Internet of Things
    Karkouch, Aimad
    Mousannif, Hajar
    Al Moatassime, Hassan
    Noel, Thomas
    [J]. JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING, 2018, 9 (04) : 977 - 998
  • [7] The Difficulty of Defining Sensitive Data-The Concept of Sensitive Data in the EU Data Protection Framework
    Quinn, Paul
    [J]. GERMAN LAW JOURNAL, 2021, 22 (08): : 1583 - 1612
  • [8] Interview with Thorsten Strufe on the challenges of data protection and data security for the Internet of Things
    Koschmider, Agnes
    [J]. Informatik-Spektrum, 2019, 42 (05): : 324 - 326
  • [9] Data encryption standard based protection method of privacy data on Internet of Things
    Cheng, Xiaohui
    Liang, Zhongning
    [J]. PROCEEDINGS OF THE 2016 4TH INTERNATIONAL CONFERENCE ON MACHINERY, MATERIALS AND COMPUTING TECHNOLOGY, 2016, 60 : 1285 - 1291
  • [10] Data Quality Enhancement in Internet in Things Environment
    Karkouch, Aimad
    Al Moatassime, Hassan
    Mousannif, Hajar
    Noel, Thomas
    [J]. 2015 IEEE/ACS 12TH INTERNATIONAL CONFERENCE OF COMPUTER SYSTEMS AND APPLICATIONS (AICCSA), 2015,