Efficient Analysis and Detection of Intelligent Security Threats in Cloud Environment

Recently, as cloud environments have spread, security technologies have strengthened preemptive defense technologies that predict and prevent various attacks. For example, security intelligence solutions, which have experienced considerable challenges, do not have sufficient reference data to operate, but many companies are introducing reference operational solutions. Among them, the analysis of the correlation between the log and parsing log heterogeneity requires considerable time and manpower. In this study, we create a rule for the security scenario based on parsing techniques to extract and parse the log of the log using only meaningful data and propose a method for purifying that can detect an intelligent security threat.