{"title":"利用自动化推进安卓隐私评估","authors":"Mugdha Khedkar, Michael Schlichtig, Eric Bodden","doi":"arxiv-2409.06564","DOIUrl":null,"url":null,"abstract":"Android apps collecting data from users must comply with legal frameworks to\nensure data protection. This requirement has become even more important since\nthe implementation of the General Data Protection Regulation (GDPR) by the\nEuropean Union in 2018. Moreover, with the proposed Cyber Resilience Act on the\nhorizon, stakeholders will soon need to assess software against even more\nstringent security and privacy standards. Effective privacy assessments require\ncollaboration among groups with diverse expertise to function effectively as a\ncohesive unit. This paper motivates the need for an automated approach that enhances\nunderstanding of data protection in Android apps and improves communication\nbetween the various parties involved in privacy assessments. We propose the\nAssessor View, a tool designed to bridge the knowledge gap between these\nparties, facilitating more effective privacy assessments of Android\napplications.","PeriodicalId":501332,"journal":{"name":"arXiv - CS - Cryptography and Security","volume":"19 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Advancing Android Privacy Assessments with Automation\",\"authors\":\"Mugdha Khedkar, Michael Schlichtig, Eric Bodden\",\"doi\":\"arxiv-2409.06564\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Android apps collecting data from users must comply with legal frameworks to\\nensure data protection. This requirement has become even more important since\\nthe implementation of the General Data Protection Regulation (GDPR) by the\\nEuropean Union in 2018. Moreover, with the proposed Cyber Resilience Act on the\\nhorizon, stakeholders will soon need to assess software against even more\\nstringent security and privacy standards. Effective privacy assessments require\\ncollaboration among groups with diverse expertise to function effectively as a\\ncohesive unit. This paper motivates the need for an automated approach that enhances\\nunderstanding of data protection in Android apps and improves communication\\nbetween the various parties involved in privacy assessments. We propose the\\nAssessor View, a tool designed to bridge the knowledge gap between these\\nparties, facilitating more effective privacy assessments of Android\\napplications.\",\"PeriodicalId\":501332,\"journal\":{\"name\":\"arXiv - CS - Cryptography and Security\",\"volume\":\"19 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-09-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - CS - Cryptography and Security\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2409.06564\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - CS - Cryptography and Security","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2409.06564","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Advancing Android Privacy Assessments with Automation
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.