English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Tools annual

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

Many Android applications collect data from users. When they do, they mustprotect this collected data according to the current legal frameworks. Suchdata protection has become even more important since the European Union rolledout the General Data Protection Regulation (GDPR). App developers have limitedtool support to reason about data protection throughout their app developmentprocess. Although many Android applications state a privacy policy, privacypolicy compliance checks are currently manual, expensive, and prone to error.One of the major challenges in privacy audits is the significant gap betweenlegal privacy statements (in English text) and technical measures that Androidapps use to protect their user's privacy. In this thesis, we will explore towhat extent we can use static analysis to answer important questions regardingdata protection. Our main goal is to design a tool based approach that aids appdevelopers and auditors in ensuring data protection in Android applications,based on automated static program analysis.

Static Analysis for Android GDPR Compliance Assurance