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Telecommun."],"published-print":{"date-parts":[[2022,12]]},"abstract":"<jats:title>Abstract\n<\/jats:title><jats:p>Security information such as threat information and vulnerability information are utilized to analyze cyberattacks. If specific keywords such as the name of malware related to the event to be analyzed are known in advance, it is possible to obtain information using typical search engines. However, when a security operator cannot recall appropriate keywords related to the event to be analyzed, or when a commonly recognized identifier does not exist, a general search engine cannot be expected to produce useful results. In this paper, we propose a method using topic models and outlier detection to generate multi-labels for search, with the goal of constructing a search engine that can present relevant security information even in such situations. In addition, this paper discusses the application of the proposed method to 2386 security reports issued from 2017 to 2019 to demonstrate that the labeling can be focused on specific topics.<\/jats:p>","DOI":"10.1007\/s12243-022-00928-5","type":"journal-article","created":{"date-parts":[[2022,10,26]],"date-time":"2022-10-26T07:03:46Z","timestamp":1666767826000},"page":"777-788","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Multi-labeling with topic models for searching security information"],"prefix":"10.1007","volume":"77","author":[{"given":"Yuki","family":"Osada","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ryusei","family":"Nagasawa","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8970-9408","authenticated-orcid":false,"given":"Yoshiaki","family":"Shiraishi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Makoto","family":"Takita","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Keisuke","family":"Furumoto","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Takeshi","family":"Takahashi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Masami","family":"Mohri","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Masakatu","family":"Morii","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,10,26]]},"reference":[{"key":"928_CR1","unstructured":"Blei DM, Ng AY, Jordan MI (2003) Latent dirichlet allocation.\u00a0J Mach Learn Res 993\u20131022"},{"key":"928_CR2","doi-asserted-by":"crossref","unstructured":"Rose S, Engel D, Cramer N, Cowley W (2010) Automatic keyword extraction from individual documents. 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Accessed 2020\/12\/11"},{"key":"928_CR10","unstructured":"Cisco blog, from https:\/\/blogs.cisco.com\/. Accessed 2020\/12\/11"},{"key":"928_CR11","unstructured":"Symantec blogs. https:\/\/www.symantec.com\/blogs\/. Accessed 2020\/12\/11"},{"key":"928_CR12","unstructured":"Barracuda- security, access and reliability for cloud-connected networks and applications. https:\/\/blog.barracuda.com\/. Accessed 2020\/12\/11"},{"key":"928_CR13","unstructured":"Druva blog: Data protection and beyond. https:\/\/www.druva.com\/category\/tech-engineering\/. Accessed 2020\/12\/11"},{"key":"928_CR14","unstructured":"Threat research. https:\/\/www.fireeye.com\/blog\/threat-research.html. Accessed 2020\/12\/11"},{"key":"928_CR15","unstructured":"Network security blog. https:\/\/www.netscout.com\/asert. Accessed 2020\/12\/11"},{"key":"928_CR16","unstructured":"Palo alto networks blog. https:\/\/blog.paloaltonetworks.com\/. 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