Development of a Cyber Incident Information Crawler

Kazuki Ikegami, Michihiro Yamada, Hiroaki Kikuchi, Koji Inui

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper studies a crawler system for public cyber incident information published from official press release websites. The incidents information dataset allows us to identify the primary source of incidents and countermeasures of the cyber incidents. However, organizations publish the incident press releases in arbitrary format, which prevents us from automating annotation and classification. To address this issue, we propose a machine learning technique in conjunction with a webpage crawler and reports the accuracy and the performance of the developed cyber incident information system.

Original languageEnglish
Title of host publicationInnovative Mobile and Internet Services in Ubiquitous Computing - Proceedings of the 13th International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing IMIS-2019
EditorsLeonard Barolli, Fatos Xhafa, Omar K. Hussain
PublisherSpringer Verlag
Pages447-455
Number of pages9
ISBN (Print)9783030222628
DOIs
Publication statusPublished - 1 Jan 2020
Event13th International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing, IMIS 2019 - Sydney, Australia
Duration: 3 Jul 20195 Jul 2019

Publication series

NameAdvances in Intelligent Systems and Computing
Volume994
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Conference

Conference13th International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing, IMIS 2019
CountryAustralia
CitySydney
Period3/07/195/07/19

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  • Cite this

    Ikegami, K., Yamada, M., Kikuchi, H., & Inui, K. (2020). Development of a Cyber Incident Information Crawler. In L. Barolli, F. Xhafa, & O. K. Hussain (Eds.), Innovative Mobile and Internet Services in Ubiquitous Computing - Proceedings of the 13th International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing IMIS-2019 (pp. 447-455). (Advances in Intelligent Systems and Computing; Vol. 994). Springer Verlag. https://doi.org/10.1007/978-3-030-22263-5_43