@inproceedings{436354085a7040dd8ac15f32082861c9,
title = "Construction of a News Classification System Related to Information Security Incidents",
abstract = "In this study, based on previous studies on the impact of news related to information security incidents on stock prices, we attempted to extract news related to information security incidents by using sentence similarity calculation in BERT. The stock price fluctuations of the sample news and the extracted news were also measured by event study and compared to verify the effectiveness of the classification model. As a result, the news data with a similarity of about 85% approximates the results of event studies in previous studies. The potential of the classification system was demonstrated.",
keywords = "Information security incidents, Natural language processing",
author = "Jiansen Zhao and Hiroshi Takahashi",
note = "Publisher Copyright: {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.; 16th KES International Conference on Agents and Multi-Agent Systems: Technologies and Applications, KES-AMSTA 2022 ; Conference date: 20-06-2022 Through 22-06-2022",
year = "2022",
doi = "10.1007/978-981-19-3359-2_11",
language = "English",
isbn = "9789811933585",
series = "Smart Innovation, Systems and Technologies",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "125--133",
editor = "Gordan Jezic and Chen-Burger, {Yun-Heh Jessica} and Mario Kusek and Roman {\v S}perka and Howlett, {Robert J.} and Howlett, {Robert J.} and Howlett, {Robert J.} and Jain, {Lakhmi C.} and Jain, {Lakhmi C.}",
booktitle = "Agents and Multi-Agent Systems",
}