作者: Dimitrios Papamartzivanos , Dimitrios Damopoulos , Georgios Kambourakis
关键词:
摘要: Most would agree that modern app-markets have been flooded with applications not only threaten the security of OS superficially, but also in their majority, trample on user's privacy through exposure sensitive information necessarily needed for operation. In this context, current work revolves around 3 key questions: Is there a way end-user to easily track - many times hidden leaks occurring due mobile apps operate? Can crowdsourcing provide quantitative assessment per app terms level? And if yes, which cloud-based mechanism can detect and alert changes apps' behavior? Motivated by aforementioned questions, we design system operates under logic, aim i) real-time privacy-flow tracking service, ii) collaborative infrastructure exchanging related level, iii) potentially behavior-driven detection an effort take advantage data its maximum efficasy.