LEADS-Engine: Linguistically Enabled Analytic Dark Search Engine

**项目愿景**英国国家欺诈和网络犯罪仪表盘（NFB）显示，到目前为止，到2021年，组织已经受到57,304起与欺诈相关的网络犯罪的影响，损失达6.374亿英镑。暗网为组织、实施和传播非法活动/技术提供了一种手段，超过50%的Tor（最受欢迎的暗网网络）网站专门从事非法活动（Terbium Labs）。虽然有多种暗网监控工具/服务，但都缺乏基于行为模式自动识别威胁的能力，这目前需要使用像法律语言学这样的技术进行大量的人工分析，只有像阿斯顿法律语言学研究所（AIFL）这样的专业学术研究人员才能提供。由于需要采用威胁情报安全解决方案（Hiscox, 2019），到2025年，全球威胁情报市场预计将达到161亿美元（MarketsAndMarkets.com）。**创新**Forensic Pathways Limited （FPL）是一家总部位于英国的中小企业，开发了暗搜索引擎（DSE），一种Tor的自动爬虫/刮板。洋葱暗网。该项目名为“语言支持分析暗搜索引擎”（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最终用户提供可操作的情报，他们可以使用这些情报来制定保护措施/系统。我们将与AIFL在LEADS-Engine中合作，通过提供可操作的情报和快速识别新威胁，为风险评估工具提供信息，并增加不断发展的在线欺诈策略和行为数据库，从而超越最先进的监控/警报技术。

**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.