Cybersecurity Text Data Classification and Optimization for CTI Systems

Ariel Rodriguez, Koji Okamura

    研究成果: Chapter in Book/Report/Conference proceedingConference contribution

    1 被引用数 (Scopus)

    抄録

    Cyber threat intelligence systems provide a way to prioritize alerts and allow security teams to focus on critical threats and utilize their resources more efficiently. One challenge in these systems comes in accurately classifying the data that is input and processed within the system which is critical to producing meaningful output. To tackle this problem, in this paper we research text-based cybersecurity data classification methods using a multi-layer keyword filtering method and unsupervised learning methods using doc2vec. We also look at how we can optimize the accuracy and efficiency of cyber threat intelligence systems through the use of ensemble learning. This research will help with prioritization of cyber threat intelligence systems which allow security teams to use their resources more efficiently.

    本文言語英語
    ホスト出版物のタイトルWeb, Artificial Intelligence and Network Applications - Proceedings of the Workshops of the 34th International Conference on Advanced Information Networking and Applications, WAINA 2020
    編集者Leonard Barolli, Flora Amato, Francesco Moscato, Tomoya Enokido, Makoto Takizawa
    出版社Springer
    ページ410-419
    ページ数10
    ISBN(印刷版)9783030440374
    DOI
    出版ステータス出版済み - 2020
    イベントWorkshops of the 34th International Conference on Advanced Information Networking and Applications, WAINA 2020 - Caserta, イタリア
    継続期間: 4 15 20204 17 2020

    出版物シリーズ

    名前Advances in Intelligent Systems and Computing
    1150 AISC
    ISSN(印刷版)2194-5357
    ISSN(電子版)2194-5365

    会議

    会議Workshops of the 34th International Conference on Advanced Information Networking and Applications, WAINA 2020
    Countryイタリア
    CityCaserta
    Period4/15/204/17/20

    All Science Journal Classification (ASJC) codes

    • Control and Systems Engineering
    • Computer Science(all)

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