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Applying methods & lessons learned from online illicit trade detection to CSA text links

Applying methods & lessons learned from online illicit trade detection to CSA text links
使用方法
批准号:
10070472
负责人:
金额:
$15.26万
依托单位:
依托单位国家:
英国
项目类别:
Collaborative R&D
财政年份:
2023
资助国家:
英国
项目状态:
已结题
起止时间:
2023 至 --

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中文摘要
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英文摘要
In 2022 over 2.7 million links (of which 1.2 million were thought to be unique) were being shared in unregulated chat networks - where criminals are trading child sexual abuse material and discussing the abuse of children. (Source: Child Rescue Coalition)Vistalworks has a proven track record in innovating to target online illicit trade, with active products and services being used by enforcement agencies and ecommerce marketplaces in the UK and beyond.There are several important commonalities between the most evasive online illicit trading tactics and the sharing of CSAM links.Our proposal is to take the most appropriate methods and learnings from our focus on illegal selling listings on public platforms, marketplaces and search engines, then apply this to CSAM links to improve detection and content moderation.
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复杂图像处理中的自由非连续问题及其水平集方法研究
  • 批准号:
    60872130
  • 项目类别:
    面上项目
  • 资助金额:
    28.0万元
  • 批准年份:
    2008
  • 负责人:
    刘国才
  • 依托单位:
Computational Methods for Analyzing Toponome Data