作者: Radu Sion , Marianne Winslett , Ragib Hasan
DOI:
关键词: Confidentiality 、 Internet privacy 、 Computer security 、 PICASSO 、 Application layer 、 Overhead (computing) 、 Government 、 Authentication 、 Provenance 、 Computer science
摘要: As increasing amounts of valuable information are produced and persist digitally, the ability to determine origin data becomes important. In science, medicine, commerce, government, provenance tracking is essential for rights protection, regulatory compliance, management intelligence medical data, authentication as it flows through workplace tasks. this paper, we show how provide strong integrity confidentiality assurances information. We describe our provenance-aware system prototype that implements writes at application layer, which makes extremely easy deploy. present empirical results that, typical real-life workloads, run-time overhead approach recording with guarantees ranges from 1%-13%.