Abstract
In support of the CASE, PSIRT which becomes the basis of the security is indispensable. PSIRT is a team in charge of collecting security event then analyze whether the information has a potential to damage proprietary products. In the realization of PSIRT, the appropriate sorting and efficient processing of incident information will be a challenge. This study provides an intelligent technology using machine learning model to identify whether input information is automotive related by recognizing attack target of the contents. We evaluated this method by using collected vulnerability information and extracted the future work.
