LEADS-Engine: Linguistically Enabled Analytic Dark Search Engine

LEADS-Engine：支持语言分析的暗搜索引擎

• 批准号: 10028033
• 金额: $ 31.29万
• 依托单位: FORENSIC PATHWAYS LIMITED
• 依托单位国家: 英国
• 项目类别: Collaborative R&D
• 财政年份: 2022
• 资助国家: 英国
• 起止时间: 2022 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=10028033
• 关键词: LEADS; Engine; Linguistically; Enabled; Analytic

**Vision for the Project**The UK National Fraud and Cyber Crime Dashboard (NFB) shows that, to-date in 2021, organisations have been impacted by 57,304 fraud-related cybercrimes, costing £637.4m. There has been a 64% rise in cyber-attacks with the shift to remote/home working (mimecast.com).The Dark Web provides a means for the organisation, conduct, and spread of illicit activity/techniques, with over 50% of Tor (the most popular Dark Web network) websites dedicated to illegal activity (Terbium Labs).While there are multiple dark web monitoring tools/services, all lack the ability to automatically identify threats based on behavioural patterns, which currently requires extensive manual analysis using techniques like Forensic Linguistics, only available from specialist academic researchers such as the Aston Institute for Forensic Linguistics (AIFL).The global threat intelligence market is projected to reach $16.1 billion by 2025 (MarketsAndMarkets.com), driven by the need to adopt threat intelligence security solutions (Hiscox, 2019).**Innovation**Forensic Pathways Limited (FPL), a UK-based SME, has developed Dark Search Engine (DSE), an automated crawler/scraper of the Tor .onion Dark Web. This project, Linguistically Enabled Analytic Dark Search Engine (LEADS-Engine), will develop innovative techniques for the detection and prediction of cybercrime/fraud, providing DSE end-users with actionable intelligence they can use to develop their protection measures/systems.We will team with AIFL in LEADS-Engine to go beyond the monitoring/alerting state-of-the-art by providing actionable intelligence and enabling the rapid identification of new threats, feeding into risk assessment tools and adding to a continually developing database of online fraud strategies and behaviours.

** 英国国家欺诈和网络犯罪仪表板（NFB）显示，截至2021年，组织已受到57，304起与欺诈相关的网络犯罪的影响，损失6.374亿英镑。随着远程/家庭工作的转变，网络攻击增加了64%（mimecast.com）。暗网为非法活动/技术的组织、实施和传播提供了一种手段，超过50%的Tor（最受欢迎的暗网网络）致力于非法活动的网站（Terbium Labs）。虽然有多种暗网监控工具/服务，但都缺乏根据行为模式自动识别威胁的能力，目前，这需要大量的人工分析，使用的技术，如法医语言学，只有专业的学术研究人员，如阿斯顿研究所法医语言学（AIFL）。全球威胁情报市场预计将达到161亿美元，到2025年（MarketsAndMarkets.com），由采用威胁情报安全解决方案的需求驱动（Hiscox，2019）。创新 **Forensic Pathways Limited（FPL）是一家总部位于英国的中小企业，它开发了Dark Search Engine（DSE），这是Tor .onion Dark Web的自动爬虫/抓取器。这个项目，语言启用分析黑暗搜索引擎（LEADS-Engine）将开发用于检测和预测网络犯罪/欺诈的创新技术，为DSE最终用户提供可用于开发其保护措施/系统的可操作情报。我们将与AIFL在LEADS-Engine中合作，通过提供可操作情报并快速识别新威胁，超越最先进的监控/警报，为风险评估工具提供信息，并为不断发展的在线欺诈战略和行为数据库提供补充。