@inproceedings{oai:ipsj.ixsq.nii.ac.jp:00201487,
 author = {Otgonpurev, Mendsaikhan and Hirokazu, Hasegawa and Yukiko, Yamaguchi and Hajime, Shimada and Otgonpurev, Mendsaikhan and Hirokazu, Hasegawa and Yukiko, Yamaguchi and Hajime, Shimada},
 book = {コンピュータセキュリティシンポジウム2019論文集},
 month = {Oct},
 note = {In order to proactively mitigate the cybersecurity risks, the security analysts have to continuously monitor the threat information sources. However the sheer amount of textual information that needs to be processed is overwhelming and requires a mundane labor. We propose a novel approach to automate this process by analyzing and enriching textual cyber threat information using the number of Indicator of Compromise (IOC) and number of Common Vulnerabilities and Exposure (CVE) associated with the content of the information. By fine-tuning the pre-trained Named Entity Recognition model in cybersecurity domain and utilizing various Open Source Intelligence sources to validate the IOCs found in the text we were able to perform experiments and obtain preliminary results., In order to proactively mitigate the cybersecurity risks, the security analysts have to continuously monitor the threat information sources. However the sheer amount of textual information that needs to be processed is overwhelming and requires a mundane labor. We propose a novel approach to automate this process by analyzing and enriching textual cyber threat information using the number of Indicator of Compromise (IOC) and number of Common Vulnerabilities and Exposure (CVE) associated with the content of the information. By fine-tuning the pre-trained Named Entity Recognition model in cybersecurity domain and utilizing various Open Source Intelligence sources to validate the IOCs found in the text we were able to perform experiments and obtain preliminary results.},
 pages = {1378--1383},
 publisher = {情報処理学会},
 title = {Quantifying the Significance of Cybersecurity Related Text Documents by Analyzing IoC and Named Entities},
 volume = {2019},
 year = {2019}
}