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ATTRIBUTION – DATA- ANALYSIS – COUNTERMEASURES – INTEROPERABILITY: ADAC.IO

ATTRIBUTION – DATA- ANALYSIS – COUNTERMEASURES – INTEROPERABILITY: ADAC.IO
归因 – 数据分析 – 对策 – 互操作性:ADAC.IO
批准号:
10105669
负责人:
金额:
$32.67万
依托单位:
依托单位国家:
英国
项目类别:
EU-Funded
财政年份:
2024
资助国家:
英国
项目状态:
未结题
起止时间:
2024 至 --

项目摘要

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中文摘要
翻译
该项目的目的是通过加强否认FIMI对社会的预期影响的能力来保护欧盟的民主。这将通过集中研究来实现,这些研究汇集了FIMI知识和技术组成部分背后的一些主要参与者,因为它是由EEAS和其他欧盟机构开发的。我们将共同努力,在现有知识的基础上,大力发展FIMI如何被检测、分类、分析、共享和反击。我们将通过对DISARM框架、北约混合COE归因框架、STIX 2.1、OpenCTI、ABCDE和FIMI对策工具箱的一系列协调贡献来实现这一目标。这一方法承认了贸易点计划和共同数据处理标准对确定渔业信息管理倡议行为者的能力的重要性,并进一步将贸易点计划置于制定对策所必需的更广泛的分析过程中。除了建立改进的技术标准和操作程序外,我们还将产生研究知识,以支持更好地制定FIMI对策。例如,我们将研究归因的公共影响,语言和视觉分析的研究方法,了解跨平台操纵如何规避传统分析方法,以及建立以前FIMI干预的数据集。我们包括一个关于性别虚假信息的具体组成部分,旨在更好地将性别问题纳入技术格式。最后,我们将与包括EEAS、成员国代表、民间社会和记者/EDMO在内的实践社区密切合作。
英文摘要
The purpose of this project is to protect democracy in the EU by strengthening the ability to deny the intended effects of FIMI on society. This will be achieved with focused research that brings together some of the principal actors behind the intellectual and technical components of FIMI as it has been developed by the EEAS and other EU Institutions. We will work together to significantly develop upon current knowledge of how FIMI can be detected, categorised, analysed, shared, and countered. We will achieve this through a series of coordinated contributions to the DISARM Framework, the NATO-Hybrid COE Attribution Framework, STIX 2.1, OpenCTI, ABCDE, and the FIMI countermeasures toolbox. This approach acknowledges the importance of TTPs and common data handling standards to the ability to attribute FIMI actors, and further positions TTPs within the broader analytical processes that are necessary to developing countermeasures. In addition to establishing improved technical standards and operating procedures, we will generate research knowledge that can support better decision-making about FIMI countermeasures. For example, we will conduct research into the public impact of attribution, research methods for linguistic and visual analysis, develop the understanding of how cross-platform manipulation evades traditional analysis methods, as well as establishing a dataset of previous FIMI interventions. We include a specific component on gendered disinformation designed to better integrate gender into the technical formats. Finally, we will work closely with a community of practice that includes the EEAS, representatives of member states, civil society, and journalists/EDMO.
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国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
Data-driven Recommendation System Construction of an Online Medical Platform Based on the Fusion of Information
Development of a Linear Stochastic Model for Wind Field Reconstruction from Limited Measurement Data
  • 批准号:
    --
  • 项目类别:
    --
  • 资助金额:
    40万元
  • 批准年份:
    2020
  • 负责人:
    Vikrant Gupta
  • 依托单位:
基于Linked Open Data的Web服务语义互操作关键技术
  • 批准号:
    61373035
  • 项目类别:
    面上项目
  • 资助金额:
    77.0万元
  • 批准年份:
    2013
  • 负责人:
    冯志勇
  • 依托单位: