Analytic Augmentation Component for Workshops on Computational Cybersecurity in Compromised Environments (C3E)

受损环境中的计算网络安全（C3E）系列研讨会确定了不断变化的网络安全环境中的最新挑战，并探索了研究行动的不同可能过程。这些研讨会激发了工业界、学术界和政府之间的讨论和意识，即网络安全挑战是一个复杂的问题，具有许多观点，相互竞争的利益，以及可能对社会造成的后果。C3E研讨会还提供挑战问题，鼓励以团队为导向的多学科方法，通过考虑社会经济结果、信任、公共安全、隐私风险、技术政策以及对社会的更大后果来调查挑战。即将到来的C3E挑战问题的研究主题是出于对大规模社交网络操纵的担忧。我们面临的挑战是探索混合方法，以支持人机合作中的认知安全，利用人工智能、机器学习和互联网规模分析的进步。特别感兴趣的是决策和分析判断的过程，这些过程可能容易受到网络媒介环境中不正确、不完整、误导或错误信息的影响，减轻这些漏洞的手段，以及一旦失去信任就恢复信任的方法。研究结果将广泛传播，以告知研究界和公众。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。

The Computational Cybersecurity in Compromised Environments (C3E) workshop series identifies recent challenges in the changing cybersecurity landscape and explores different possible courses of research action. The workshops stimulate discussion and awareness among industry, academia and government that cybersecurity challenges are complex problems with many perspectives, competing interests, and possible consequences for society. The C3E workshops also offer challenge problems, encouraging team-oriented multidisciplinary approaches to investigate a challenge by considering socio-economic outcomes, trust, public safety, privacy risks, technology policy, and the larger consequences for society. The research theme for the upcoming C3E challenge problem is motivated by concerns over social-cyber manipulation at scale. The challenge is to explore hybrid approaches to support cognitive security in human-machine teaming, leveraging advances in artificial intelligence, machine learning, and analytics at Internet scale. Of particular interest are processes for decision-making and analytic judgments that may be vulnerable to incorrect, incomplete, misleading, or misinformation in cyber-mediated contexts, the means to mitigate these vulnerabilities, and methods for restoring trust once lost. The research results will be widely disseminated to inform the research community and the general public.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.