A design of IL-CyTIS for automated cyber threat detection

Abstract

As cyber squabbling has been intensified, the necessity of sharing cyber threat information has increased Therefore, attempts to develop a technology to upgrade and deepen the related system will continue. In particular, it is anticipated that automated response and analysis using machine learning will be actively conducted In this paper, we design and propose IL-CyTIS (a unified and lightened information structure) by customizing STIX (a cyber threat information expression standard) for the input and analysis vi'a machine learning before conducting a study using machine learning to derive new information from existing cyber threat information. Then, we discuss its actual application in machine learning.