Tracking Covid Cybercrime and Abuse

追踪 Covid 网络犯罪和滥用行为

• 批准号: EP/V026178/1
• 负责人: Ross Anderson
• 金额: $ 97.95万
• 依托单位: University of Cambridge
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2020
• 资助国家: 英国
• 起止时间: 2020 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FV026178%2F1
• 关键词: Tracking; Covid; Cybercrime; Abuse

Around half of all acquisitive crime was already online before the start of the pandemic; it is now surging as many human activities move online chaotically, and cybercriminals adapt to the opportunities. This project will collect data at scale about online criminality, quickly enough to fetch malicious material before it is removed. We will not work alone but will promptly provide datasets to other researchers, and collaborate to create better analysis tools, analyse offender behaviour, and monitor the effectiveness of police and industry response. Our Cambridge Cybercrime Centre already collects data from underground forums, spam feeds, and industry partners, but we will ensure that pandemic related cybercrime Is prioritised and new datasets collected about online abuse and extremist views, such as anti-vaxxers. To scale up our work, we need to maintain and expand our network of honeypots and other sensors; extend our server cluster; scrape dozens more underground forums; and extend our collection of chat channels and illicit marketplaces - which are often found on Tor hidden services. We have an established ethical framework for data collection and a straightforward legal framework for data sharing, but a current bottleneck is that non-technical users can be swamped by what we provide, so we need to develop NLP tools to enable easier analysis of the data by researchers from other disciplines. We will also do our own analysis, for research to identify opportunities for law enforcement action, and to measure the effectiveness of responses by law enforcement and industry.

在大流行开始之前，约有一半的掠夺性犯罪已经在网上发生;现在，随着许多人类活动在网上混乱地移动，网络犯罪分子适应了机会，这一犯罪正在激增。该项目将大规模收集有关在线犯罪的数据，速度足够快，可以在删除恶意材料之前获取它们。我们不会单独工作，而是会及时向其他研究人员提供数据集，并合作创建更好的分析工具，分析罪犯行为，并监测警方和行业反应的有效性。我们的剑桥网络犯罪中心已经从地下论坛、垃圾邮件源和行业合作伙伴收集数据，但我们将确保优先考虑与流行病相关的网络犯罪，并收集有关在线滥用和极端主义观点（如反疫苗者）的新数据集。为了扩大我们的工作规模，我们需要维护和扩展我们的蜜罐和其他传感器网络;扩展我们的服务器集群;挖掘更多的地下论坛;并扩展我们的聊天频道和非法市场的收集-这些经常在Tor隐藏服务上找到。我们已经建立了数据收集的道德框架和数据共享的直接法律的框架，但目前的瓶颈是非技术用户可能会被我们提供的内容淹没，因此我们需要开发NLP工具，以便其他学科的研究人员能够更轻松地分析数据。我们还将进行我们自己的分析，以研究确定执法行动的机会，并衡量执法部门和行业应对措施的有效性。

项目成果

Expression analysis and regulation of GLI and its correlation with stemness and metabolic alteration in human brain tumor.

GLI在人脑肿瘤中的表达分析和调控及其与干性和代谢改变的相关性。

• DOI: 10.1007/978-3-319-30936-1_10
• 发表时间: 2023
• 期刊: 3 Biotech
• 影响因子: 2.8
• 作者: Agrawal K

Turning Up the Dial: the Evolution of a Cybercrime Market Through Set-up, Stable, and COVID-19 Eras

转动表盘：网络犯罪市场从建立期、稳定期和 COVID-19 时代的演变

• 发表时间: 2020
• 作者: Anh VV

Follow the money: The relationship between currency exchange and illicit behaviour in an underground forum

追随金钱：货币兑换与地下论坛非法行为之间的关系

• DOI: 10.1109/eurospw54576.2021.00027
• 发表时间: 2021
• 作者: Siu G

The Online Safety Bill

在线安全法案

• 发表时间: 2023
• 作者: Anderson R

Cybercrime in context: The human factor in victimization, offending, and policing

网络犯罪背景：受害、犯罪和治安中的人为因素

• 发表时间: 2021
• 作者: Bada M