The Application of Digital Forensics and Machine Learning to Automatically Detect and Flag Modified Online Terrorist Propaganda

应用数字取证和机器学习自动检测和标记经过修改的在线恐怖宣传

• 批准号: 2598763
• 金额: --
• 依托单位: Swansea University
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2021
• 资助国家: 英国
• 起止时间: 2021 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2598763
• 关键词: Application; Digital; Forensics; Machine; Learning

In collaboration with Tech Against Terrorism: Criminology frameworks will be utilised to understand/analyse the meaning/significance of terrorist narratives/imagery, and Computer Science to identify applications used by terrorist groups/sympathisers to modify content to evade detection - to advance understanding of terrorists' use of online spaces and propaganda dissemination strategies, to inform efforts to develop tools to detect content that has been modified to evade detection.

与科技反恐合作：犯罪学框架将用于理解/分析恐怖主义叙事/图像的含义/重要性，计算机科学将用于识别恐怖组织/同情者使用的修改内容以逃避检测的应用程序-促进对恐怖分子使用在线空间和宣传传播策略的理解，为开发工具提供信息，以检测已修改的内容以逃避检测。