Generating real time cyber situational awareness information through social media data mining

Ariel Rodriguez, Koji Okamura

    研究成果: 書籍/レポート タイプへの寄稿会議への寄与

    9 被引用数 (Scopus)

    抄録

    With the rise of the internet many new data sources have emerged that can be used to help us gain insights into the cyber threat landscape and can allow us to better prepare for cyber attacks before they happen. With this in mind, we present an end to end real time cyber situational awareness system which aims to efficiently retrieve security relevant information from the social networking site Twitter.com. This system classifies and aggregates the data retrieved and provides real time cyber situational awareness information based on sentiment analysis and data analytics techniques. This research will assist security analysts to evaluate the level of cyber risk in their organization and proactively take actions to plan and prepare for potential attacks before they happen as well as contribute to the field through a cybersecurity tweet dataset.

    本文言語英語
    ホスト出版物のタイトルProceedings - 2019 IEEE 43rd Annual Computer Software and Applications Conference, COMPSAC 2019
    編集者Vladimir Getov, Jean-Luc Gaudiot, Nariyoshi Yamai, Stelvio Cimato, Morris Chang, Yuuichi Teranishi, Ji-Jiang Yang, Hong Va Leong, Hossian Shahriar, Michiharu Takemoto, Dave Towey, Hiroki Takakura, Atilla Elci, Susumu Takeuchi, Satish Puri
    出版社IEEE Computer Society
    ページ502-507
    ページ数6
    ISBN(電子版)9781728126074
    DOI
    出版ステータス出版済み - 7月 2019
    イベント43rd IEEE Annual Computer Software and Applications Conference, COMPSAC 2019 - Milwaukee, 米国
    継続期間: 7月 15 20197月 19 2019

    出版物シリーズ

    名前Proceedings - International Computer Software and Applications Conference
    2
    ISSN(印刷版)0730-3157

    会議

    会議43rd IEEE Annual Computer Software and Applications Conference, COMPSAC 2019
    国/地域米国
    CityMilwaukee
    Period7/15/197/19/19

    !!!All Science Journal Classification (ASJC) codes

    • ソフトウェア
    • コンピュータ サイエンスの応用

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