2019/12/17 by Altman, Micah, Landau, Richard
Computer Science · #Cryptography and Security (cs.CR) #Digital Libraries (cs.DL) #FOS: Computer and information sciences #cs.CR #cs.DL
paper · pdf · doi:10.48550/arxiv.1912.07908
Forthcoming IJDC 2022
This article addresses the problem of formulating efficient and reliable operational preservation policies that ensure bit-level information integrity over long periods, and in the presence of a diverse range of real-world technical, legal, organizational, and economic threats. We develop a systematic, quantitative prediction framework that combines formal modeling, discrete-event-based simulation, hierarchical modeling, and then use empirically calibrated sensitivity analysis to identify effective strategies. The framework offers flexibility for the modeling of a wide range of preservation policies and threats. Since this framework is open source and easily deployed in a cloud computing environment, it can be used to produce analysis based on independent estimates of scenario-specific costs, reliability, and risks.