Analysis of Digital Forensic Artifacts Data Enrichment Mechanism for Cyber Threat Intelligence

Hyung-Woo Lee
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Abstract

Cyber attack targeting heterogeneous devices in large-scale network environments through advanced persistent threat (APT) attacks are on the rise. Therefore, in order to improve the effectiveness of the cyber incident response system, it is necessary to apply a data enrichment mechanism for the collected digital forensic artifacts data to reinforce threat analysis and detection performance. Therefore, we designed and implemented the data enrichment mechanism for cyber threat intelligent system by analyzing the existing cyber incident response framework such as SIEM, CTI based on the aggregated digital forensic artifacts. Through this, it is expected to improve the detection performance and effectiveness when using artifact data enrichment process for analyzing cyber incidents collected from heterogeneous devices.
面向网络威胁情报的数字取证文物数据富集机制分析
针对大规模网络环境中异构设备的高级持续威胁(advanced persistent threat, APT)网络攻击呈上升趋势。因此,为了提高网络事件响应系统的有效性,有必要对收集到的数字取证文物数据应用数据充实机制,以增强威胁分析和检测性能。因此,通过分析现有的SIEM、CTI等网络事件响应框架,基于聚合的数字取证构件,设计并实现了网络威胁智能系统的数据充实机制。通过这一点,期望在使用工件数据丰富过程分析从异构设备收集的网络事件时提高检测性能和有效性。
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