Threat Miner - A Text Analysis Engine for Threat Identification Using Dark Web Data

Nathan Deguara, Junaid Arshad, Anum Paracha, Muhammad Ajmal Azad

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    2 Citations (SciVal)
    Original languageEnglish
    Title of host publication2022 IEEE International Conference on Big Data (Big Data)
    EditorsShusaku Tsumoto, Yukio Ohsawa, Lei Chen, Dirk Van den Poel, Xiaohua Hu, Yoichi Motomura, Takuya Takagi, Lingfei Wu, Ying Xie, Akihiro Abe, Vijay Raghavan
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages3043-3052
    Number of pages10
    ISBN (Electronic)9781665480451
    DOIs
    Publication statusPublished (VoR) - 26 Feb 2023
    Event2022 IEEE International Conference on Big Data, Big Data 2022 - Osaka, Japan
    Duration: 17 Dec 202220 Dec 2022

    Publication series

    NameProceedings - 2022 IEEE International Conference on Big Data, Big Data 2022

    Conference

    Conference2022 IEEE International Conference on Big Data, Big Data 2022
    Country/TerritoryJapan
    CityOsaka
    Period17/12/2220/12/22

    Keywords

    • Cyber Attacks
    • Cyber Threats
    • Dark web
    • Sentiment Analysis
    • Threat Intelligence

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