Advancing Android Privacy Assessments with Automation
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arXiv
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| Main Authors: | , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866917772400787456 |
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| author | Khedkar, Mugdha Schlichtig, Michael Bodden, Eric |
| author_facet | Khedkar, Mugdha Schlichtig, Michael Bodden, Eric |
| contents | Android apps collecting data from users must comply with legal frameworks to ensure data protection. This requirement has become even more important since the implementation of the General Data Protection Regulation (GDPR) by the European Union in 2018. Moreover, with the proposed Cyber Resilience Act on the horizon, stakeholders will soon need to assess software against even more stringent security and privacy standards. Effective privacy assessments require collaboration among groups with diverse expertise to function effectively as a cohesive unit.
This paper motivates the need for an automated approach that enhances understanding of data protection in Android apps and improves communication between the various parties involved in privacy assessments. We propose the Assessor View, a tool designed to bridge the knowledge gap between these parties, facilitating more effective privacy assessments of Android applications. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2409_06564 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Advancing Android Privacy Assessments with Automation Khedkar, Mugdha Schlichtig, Michael Bodden, Eric Cryptography and Security Android apps collecting data from users must comply with legal frameworks to ensure data protection. This requirement has become even more important since the implementation of the General Data Protection Regulation (GDPR) by the European Union in 2018. Moreover, with the proposed Cyber Resilience Act on the horizon, stakeholders will soon need to assess software against even more stringent security and privacy standards. Effective privacy assessments require collaboration among groups with diverse expertise to function effectively as a cohesive unit. This paper motivates the need for an automated approach that enhances understanding of data protection in Android apps and improves communication between the various parties involved in privacy assessments. We propose the Assessor View, a tool designed to bridge the knowledge gap between these parties, facilitating more effective privacy assessments of Android applications. |
| title | Advancing Android Privacy Assessments with Automation |
| topic | Cryptography and Security |
| url | https://arxiv.org/abs/2409.06564 |