Proceedings of the Second International Conference on Public Policy, Social Computing and Development (ICOPOSDEV 2021)

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Privacy and Data-Driven Applications

Authors
Joiverdia Arifiyanto1, joiverdia@usu.ac.id, Ningrum Natasya Sirait2, ningrum@usu.ac.id, Miratul Khusna Mufida3, vda@polibatam.ac.id, Mohammad Reza4, mohammad.reza@mail.ugm.ac.id
1,2Universitas Sumatera Utara
3Politeknik Negeri Batam
4Universitas Gadjah Mada
Corresponding Author
Joiverdia Arifiyantojoiverdia@usu.ac.id
Available Online 15 February 2022.
DOI
10.2991/assehr.k.220204.030How to use a DOI?
Keywords
personal data; protection; track; app
Abstract

The emergence of data-driven applications brings new hope to understand and explain many world phenomena. For instance, it helps to explain how the Covid-19 pandemic spread all around the world. The objective of this research is to bridge the potential disclaimer on privacy data usage. In the middle of a crisis, it is important to keep track of how our private data is kept and used to figure out how this pandemic begins and evolves. On one hand, it is important to keep track of every single citizen related to their interaction and mobility. However, once the data is collected, there are two possibilities: it can be an opportunity, or it can be a threat especially related to the privacy of user data and its security and usage. Focusing on describing how the data collection and data usage and security related to the tracking application created, the potential mitigation about the data usage will be analysed, discussed, and elaborated. Inevitably, the technical solution will process personal data (even if pseudonymised), including health data, which is sensitive data. If the evolution were to be different and allow for broader surveillance, the balance of interests would have to be re-evaluated to assess this new purpose. However, the applicable framework seems to be rather largely unknown or misunderstood, and many questions concerning the tracing of the population to contain the pandemic remain unresolved. The lawfulness of such a system will therefore depend on the purpose and legal basis of the processing.

Copyright
© 2022 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article under the CC BY-NC license.

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Volume Title
Proceedings of the Second International Conference on Public Policy, Social Computing and Development (ICOPOSDEV 2021)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
15 February 2022
ISBN
10.2991/assehr.k.220204.030
ISSN
2352-5398
DOI
10.2991/assehr.k.220204.030How to use a DOI?
Copyright
© 2022 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article under the CC BY-NC license.

Cite this article

risenwbib
TY  - CONF
AU  - Joiverdia Arifiyanto
AU  - Ningrum Natasya Sirait
AU  - Miratul Khusna Mufida
AU  - Mohammad Reza
PY  - 2022
DA  - 2022/02/15
TI  - Privacy and Data-Driven Applications
BT  - Proceedings of the Second International Conference on Public Policy, Social Computing and Development (ICOPOSDEV 2021)
PB  - Atlantis Press
SP  - 185
EP  - 191
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.220204.030
DO  - 10.2991/assehr.k.220204.030
ID  - Arifiyanto2022
ER  -