Research on Life Cycle Model of Data for Handling Big Data-Based Security Incident

摘要

Artifact analysis is used to investigate various types and characteristics of attacks to the system in case of security incident. Moreover, the accuracy of security incident analysis varies depending on artifact data. However, highly developed network technology and generation of a massive amount of artifacts in today's hyper-connected society make management difficult. The accuracy of analysis can increase if all artifacts regarding security incident are collected and saved, but this is associated with disadvantages of cost and efficiency in respect of managing artifacts. Therefore, this study aims to suggest the plan of effective handing of security incident in addition to the reduction of managerial load based on an "Artifact life cycle" model.