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  • Summary & Details

An Examination of Automatic Determination for the Product Field of Security Information in Automotive PSIRT


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Author(J)1) 山﨑 裕紀, 2) Yiwen Chen, 3) 粕谷 桃伽, 4) 萱島 信
Author(E)1) Hiroki Yamazaki, 2) Yiwen Chen, 3) Momoka Kasuya, 4) Makoto Kayashima
Affiliation(J)1) 日立製作所, 2) 日立製作所, 3) 日立製作所, 4) 日立製作所


Abstract(E)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.

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