课题基金 / 基金详情

EAGER: Social Cybersecurity: Applying Social Psychology to Improve Cybersecurity

EAGER: Social Cybersecurity: Applying Social Psychology to Improve Cybersecurity
EAGER:社会网络安全:应用社会心理学改善网络安全
批准号:
1347186
负责人:
Jason Hong
金额:
$20.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2013
资助国家:
美国
项目状态:
已结题
起止时间:
2013-09-01 至 2016-08-31

项目摘要

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中文摘要
翻译
过去调查网络安全中人的一面的研究将人视为孤立的个体,而不是在关系和社会影响的网络中行动的社会行动者。我们正在调查社会影响是如何影响网络安全的。更具体地说,我们正在研究人们如何从他们的社交网络中学习新的安全行为,使用定性和定量方法。我们也在开发和评估利用社会影响来改善人们的新技术。S的网络安全意识和知识,以及采取安全行动的动机。这些技巧利用社会心理学的既定原则来影响人们,特别是相似性和社会规范。我们正在运用这些相同的想法来影响人们?美国对网络安全的态度和行为。这项工作的成功将为网络安全开辟一个新的维度,并为研究人员和实践者增加工具箱,将已有领域的已知思想应用于新的环境中,以改善网络安全。我们的工作也会改善社区?S对人们如何学习网络安全行为的理解(目前文献很少),并将导致对两种不同的社会机制在影响人们方面的有效性的严格评估?S的意识,知识和动机,以采取更安全的网上行动。
英文摘要
Past research investigating the human side of cybersecurity has treated people as isolated individuals rather than as social actors acting within a web of relationships and social influence. We are investigating how social influence can and does affect cybersecurity. More specifically, we are studying how people learn about new security behaviors from their social network, using both qualitative and quantitative methods.We are also developing and evaluating novel techniques for leveraging social influences to improve people?s awareness and knowledge of cybersecurity, as well as motivation to act securely. These techniques make use of established principles from social psychology for influencing people, specifically similarity and social norms. We are applying these same ideas towards influencing people?s attitudes and behaviors towards cybersecurity.Success in this work will open up a new dimension to cybersecurity and add to the toolbox for researchers and practitioners, in terms of applying known ideas from an established field in a new context to improve cybersecurity. Our work will also improve the community?s understanding of how people learn their cybersecurity behaviors (of which currently there is little literature), and will lead to a rigorous evaluation of how effective two different social mechanisms are in influencing people?s awareness, knowledge, and motivations towards acting more securely online.
期刊论文(2)
专著(0)
科研奖励(0)
会议论文
DOI: --
发表时间: 2018
期刊: Fourteenth Symposium on Usable Privacy and Security ({SOUPS} 2018
影响因子: --
作者: [Park, Cheul Young, Faklaris, Cori, Zhao, Siyan, Sciuto, Alex, Dabbish, Laura, Hong, Jason]
通讯作者: Hong, Jason
DOI: 10.1145/3173574.3173575
发表时间: 2018
期刊: Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems
影响因子: --
作者: [Das, Sauvik, Lo, Joanne, Dabbish, Laura, Hong, Jason I.]
通讯作者: Hong, Jason I.
FAI: Organizing Crowd Audits to Detect Bias in Machine Learning
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    2040942
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    $62.5万
  • 财政年份:
    2021
  • 负责人:
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    2014
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  • 资助金额:
    $80.0万
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    2012
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    Jason Hong
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    0646526
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  • 财政年份:
    2006
  • 负责人:
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多语言环境下Social Tagging的内涵机理与应用框架研究-基于比较的视角
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