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
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 --
中文摘要
2022年,超过270万个链接(其中120万被认为是独一无二的)在不受监管的聊天网络中共享--犯罪分子在那里交换儿童性虐待材料,讨论虐待儿童的问题。(来源:Child Rescue Coalition)Vistalworks在针对在线非法交易的创新方面有着良好的记录,活跃的产品和服务正被英国和国外的执法机构和电子商务市场使用。在最具规避的在线非法交易策略和共享CSAM链接之间有几个重要的共同点。我们的建议是采取最合适的方法和从我们对公共平台、市场和搜索引擎上的非法销售列表的关注中吸取教训,然后将其应用于CSAM链接,以改进检测和内容审核。
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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专著(0)
科研奖励(0)
会议论文
国内基金
海外基金
复杂图像处理中的自由非连续问题及其水平集方法研究
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批准号:60872130
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项目类别:面上项目
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资助金额:28.0万元
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批准年份:2008
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负责人:刘国才
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依托单位:
Computational Methods for Analyzing Toponome Data
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批准号:60601030
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项目类别:青年科学基金项目
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资助金额:17.0万元
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批准年份:2006
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负责人:Axel Mosig
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依托单位: