TC: Small: Collaborative Research: Strengthening Forensic Science for Network Investigations

获取和传播儿童性剥削图像和视频的标准犯罪手段是点对点（p2p）网络。超过160，000名美国用户仅使用Gnutella分享儿童色情（CP）。过去的研究发现：21%的CP持有者有描述儿童性暴力的图像，如奴役、强奸和酷刑; 28%的人有3岁以下儿童的图像; 16%的CP持有调查以发现直接伤害儿童的人结束。拟议的工作旨在在调查点对点文件共享网络犯罪行为的法医学方法方面取得重大进展。该项目代表了计算机科学和犯罪学之间的跨学科合作，并得到了现有执法合作伙伴的密切参与。该项目作出了以下广泛的贡献：-它提出了新的方法，标记远程计算机在thenetwork的信息，可以唯一地识别它在aforensic检查。这些既是身份标识，也是意图的标志。它建议收集一个关于p2p网络上儿童色情制品的流行率和传播速度的基础数据集。此外，它还建议衡量和量化p2p网络上虐待儿童和儿童色情交易之间的关系。 最后，它建议开发模型来检测这些网络上故意隐藏的儿童色情制品的贩运。该项目旨在通过阻止在p2p网络上贩卖儿童图像，以及通过捕获强奸、折磨或以其他方式虐待儿童的犯罪者的联系人，减少每年遭受性剥削的儿童数量。 这项工作将加强计算机科学与犯罪学之间以及执法部门与学术界之间的跨学科合作;在网上儿童色情制品调查领域向执法部门进行技术转让，这将有助于减少未来犯罪受害者的人数;并促进广泛的教育推广和招募基金-代表少数民族在本科和研究生研究数字取证。欲了解更多信息，请参阅项目网站的URL： http://prisms.cs.umass.edu/CNS-1018615

The standard instrumentality for the criminal acquisition anddistribution of images and video of child sexual exploitation ispeer-to-peer (p2p) networks. Over 160,000 users based in the USare sharing child pornography (CP) using Gnutella alone. Paststudies have found that: 21% of CP possessors had imagesdepicting sexual violence to children such as bondage, rape, andtorture; 28% had images of children younger than 3 years old; andthat 16% of investigations of CP possession ended with discoveryof persons who directly victimized children.The proposed work aims to make significant advances in forensicsmethods of investigating criminal acts on peer-to-peer filesharing networks. The project represents a uniquemultidisciplinary collaboration between computer science andcriminology with close participation from existing lawenforcement partners.Intellectual Merit. The project makes the following broadcontributions:- It proposes novel methods of tagging a remote computer over thenetwork with information that can uniquely identify it during aforensic examination. These serve as both identifiers and asindicia of intent.- It proposes to gather a foundational dataset regarding theprevalence and rate of spread of child pornography on p2pnetworks. Further, it proposes to measure and quantify therelationships between child abuse and the trading of childpornography on p2p networks. Finally, it proposes thedevelopment of models to detect the trafficking of deliberatelyhidden child pornography on these networks.Broader Impact. The project aims to reduce the number of childrensexually exploited each year by thwarting the trafficking oftheir images on p2p networks and via the capture of the contactoffenders that rape, torture, or otherwise brutalize them. Thiswork will increase cross-disciplinary collaboration betweencomputer science and criminology and between law enforcement andacademia; effect technology transfer to law enforcement in thefield of online child pornography investigations, which will helpreduce the number of victims of crimes in the future; andfacilitate broad educational outreach and recruitment ofunder-represented minorities in undergraduate and graduateresearch in digital forensics.For further information see the project web site at the URL: http://prisms.cs.umass.edu/CNS-1018615