发现儿童性虐待材料创作者在暗网上的行为和偏好
Vuong M Ngo1, Rahul Gajula2, Christina Thorpe3
1Ho Chi Minh City Open University, Ho Chi Minh City, Viet Nam.
Child abuse & neglect
|December 2, 2023
概括
这项研究开发了一个儿童性虐待材料 (CSAM) 检测系统,以识别暗网上的CSAM创作者. 该系统有效地分析帖子,揭示创作者行为和受害者人口统计数据,用于执法和帮助电话.
科学领域:
- 网络安全 网络安全
- 犯罪学 犯罪学
- 数据科学数据科学数据科学
背景情况:
- 儿童性虐待材料 (CSAM) 主要通过暗网制作和分发,以逃避检测.
- CSAM创建者使用复杂的技术来隐他们的活动,这对执法和支持组织构成重大挑战.
研究的目的:
- 为了识别暗网上的儿童性虐待材料 (CSAM) 讨论.
- 揭示元数据洞察力,了解CSAM创建者的特点,行为和动机.
主要方法:
- 分析了2022年来自8个暗网论坛的35,400名用户的超过353,000条帖子.
- 使用支持矢量机 (SVM) 模型开发和评估CSAM检测情报系统.
主要成果:
- 在检测CSAM帖子时,SVM模型实现了92.3%的精度和87.6%的准确性.
- 确定了大约10,500名英语CSAM创作者,并分析了他们喜欢的社交媒体平台 (例如,Omegle,Skype).
- 从元数据中提取受害者的人口统计数据 (年龄,国籍) 和创作者兴趣.
结论:
- 开发的CSAM检测系统在分类CSAM内容时显示了高实时性能.
- 该系统为合作机构提供了对CSAM创作者行为和受害者学的有价值,可操作的见解.
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