@article{10.1093/comjnl/bxag092,
    author = {Huang, Cheng and Li, Zeqing and Li, Lingzi and Pu, Yujie and Wang, Ji},
    title = {Threat intelligence source quality assessment based on hierarchical representation and multidimensional mining},
    journal = {The Computer Journal},
    pages = {bxag092},
    year = {2026},
    month = {09},
    abstract = {The growing decentralization of threat intelligence sources has generated an unprecedented volume of information, creating new opportunities for security defense research. However, the absence of systematic quality assessment methods and the lack of large-scale, high-quality datasets hinder the exploration of source quality and limit the development of objective evaluation approaches. To address the impact of low-quality and false threat intelligence on security defense, we propose a threat intelligence source quality assessment method based on hierarchical representation and multidimensional indicators mining. The proposed method investigates the influencing factors of source quality across three hierarchical levels: site, indicator of compromise, and event. For each level, specific metrics are evaluated along three dimensions: scale, value, and temporal. Moreover, the criteria importance through intercriteria correlation method is utilized to automatically derive indicator weights, ensuring objectivity and enabling a rigorous quantitative evaluation. To verify quality indicators and support practical threat intelligence applications, we build a comprehensive dataset encompassing information from nearly 14 000 authors and 300 platforms. The experimental results demonstrate that the indicators exhibit strong discrimination and can measure the quality of intelligence sources from different perspectives, thus showing high consistency and providing a reliable solution for the quality assessment of threat intelligence sources.},
    issn = {0010-4620},
    doi = {10.1093/comjnl/bxag092},
    url = {https://doi.org/10.1093/comjnl/bxag092},
    eprint = {https://academic.oup.com/comjnl/advance-article-pdf/doi/10.1093/comjnl/bxag092/71049296/bxag092.pdf},
}