Abstract
Nowadays, smartphones are equipped with various sensors collecting a huge amount of sensitive personal information about their users. However, for smartphone users, it remains hidden, and sensit- ive information is accessed by used applications and data requestors. Moreover, governmental institutions have no means to verify if applic- ations requesting sensitive information are compliant with the General Data Protection Directive (GDPR), as it is infeasible to check the tech- nical details and data requested by applications that are on the market. Thus, this research aims to shed light on the compliance analysis of applications with the GDPR. Therefore, a multidimensional analysis is applied to analyzing the permission requests of applications. The use case of security camera applications was chosen, as they access highly sensit- ive personal information. Our results confirm that these apps suffer from serious privacy issues ranging from regulatory compliance issues to in- appropriate design and development strategies that can severely impact users’ privacy.
| Original language | English |
|---|---|
| Title of host publication | Intelligent Computing |
| Subtitle of host publication | Proceedings of the 2023 Computing Conference, Volume 1 |
| Editors | Kohei Arai |
| Place of Publication | Springer, Cham |
| Publisher | Springer |
| Pages | 1375-1393 |
| Edition | 1st |
| ISBN (Electronic) | 9783031377174 |
| ISBN (Print) | 9783031377167 |
| DOIs | |
| Publication status | Published - 11 Sept 2023 |
| Event | Computing Conference 2023 - Clayton Hotel Chiswick, London, United Kingdom Duration: 22 Jun 2023 → 23 Jun 2023 https://saiconference.com/Computing |
Publication series
| Name | Lecture Notes in Networks and Systems |
|---|---|
| Publisher | Springer |
| Volume | 739 |
| ISSN (Print) | 2367-3370 |
| ISSN (Electronic) | 2367-3389 |
Conference
| Conference | Computing Conference 2023 |
|---|---|
| Country/Territory | United Kingdom |
| City | London |
| Period | 22/06/23 → 23/06/23 |
| Internet address |
Keywords
- privacy protection
- privacy policy analysis
- GDPR