课题基金 / 基金详情

NSF Convergence Accelerator Track F: Online Deception Awareness and Resilience Training (DART)

NSF Convergence Accelerator Track F: Online Deception Awareness and Resilience Training (DART)
NSF 融合加速器轨道 F:在线欺骗意识和弹性培训 (DART)
批准号:
2230494
负责人:
Siwei Lyu
金额:
$500.0万
依托单位:
依托单位国家:
美国
项目类别:
Cooperative Agreement
财政年份:
2022
资助国家:
美国
项目状态:
已结题
起止时间:
2022-09-15 至 2024-08-31

项目摘要

项目成果

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中文摘要
翻译
作为本世纪最令人烦恼的问题之一,我们目睹了网络欺骗的速度、规模和复杂程度的不断升级(鱼叉式网络钓鱼和鲶鱼骗局、个人信息搜索计划、虚假内容、冒充和社交媒体上的虚假信息),这些欺诈行为造成了严重的后果(勒索软件攻击、经济损失和私人信息泄露)。最脆弱的人群是老年人,他们不成比例地成为网络剥削、操纵和欺诈的目标,导致重大的经济损失和情绪困扰。欺骗意识和恢复力训练(DART)旨在为老年人提供识别各种形式的网络欺骗所需的工具,并帮助他们社交圈中的其他人避免或减轻伤害。DART课程由教育、心理学、传播、网络安全和媒体研究方面的专家设计,包含高质量和及时的综合内容和真实世界的场景。DART项目团队包括心理学、通信和媒体、经济学、网络安全、计算机科学、游戏设计、合成媒体和老龄化研究方面的专家。DART交付成果将由专业开发团队开发,并在老年人中进行测试。DART系统由两个互补的部分组成:(1)DART学习:一个基于网络的结构化、动态、自定进度的在线欺骗学习计划。(2) DART实践:一个交互式的社交媒体模拟,为用户提供一个安全、真实的平台来实践他们所学到的在线欺骗。(3) DART Play:一套简单,有趣的手机游戏(iOS和Android),旨在让老年人熟悉常见的欺骗。该奖项反映了美国国家科学基金会的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
As one of the most vexing problems of the century, we are witnessing the escalating speed, scale, and level of sophistication of online deception (spear phishing and catfishing scams, personal information hunting schemes, fake content, impersonation, and disinformation on social media) that have severe consequences (ransomware attack, financial loss, and breach of private information). The most vulnerable demographic is older adults, who are disproportionately targeted for online exploitation, manipulation, and fraud resulting in significant financial loss and emotional distress. Deception Awareness and Resilience Training (DART) aims to equip older adults with the tools they need to recognize various forms of online deception and help others in their social circle avoid or mitigate harm. Designed by experts in education, psychology, communication, cybersecurity, and media studies, the DART curriculum contains high-quality and timely synthetic contents and real-world scenarios. The DART project team includes experts in psychology, communications and media, economics, cybersecurity, computer science, game design, synthetic media, and aging studies. DART deliverables will be developed by a professional development team and tested with older adults.The DART system consists of two complementary components: (1) DART Learn: a web-based structured, dynamic, and self-paced learning program on online deceptions. (2) DART Practice: an interactive social media simulation that provides a safe and realistic platform for the users to practice what they learned about online deception. (3) DART Play: a set of simple, fun mobile Games on mobile platforms (iOS and Android) designed to familiarize older adults with common deceptions.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
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    2153112
  • 项目类别:
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  • 资助金额:
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  • 财政年份:
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  • 项目类别:
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  • 资助金额:
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RI: Small: A Study of New Aggregate Losses for Machine Learning
  • 批准号:
    2008532
  • 项目类别:
    Standard Grant
  • 资助金额:
    $45.0万
  • 财政年份:
    2020
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  • 依托单位:
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  • 批准号:
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  • 项目类别:
    Standard Grant
  • 资助金额:
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  • 财政年份:
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  • 负责人:
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  • 依托单位:
海外基金