Privacy and Data-Driven Applications

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.

Download article (PDF)

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  -