Applying Distributed Ledger Technology to Auditing and Incident Investigation in Big Data Processing Systems

Abstract

Abstract— In this work, the problem of ensuring the auditing of granular transformations in heterogeneous big data processing systems is considered. Distributed ledger technology is proposed for tracking transformations of data fragments. Technological options for solving this problem are compared, and analytical and experimental estimates and recommendations on how to apply the results of the study are given. Unlike other similar works, the application of various types of distributed ledger technology is considered and the requirement for multiplatformity is included for the problem to be solved. The proposed solution is universal and can be used in heterogeneous multiplatform big data processing systems.