Collaborative Research: EAGER: SaTC-EDU: Just-in-Time Artificial Intelligence-Driven Cyber Abuse Education in Social Networks

合作研究：EAGER：SaTC-EDU：社交网络中人工智能驱动的网络滥用教育

• 批准号: 2114911
• 负责人: Bogdan Carbunar
• 金额: $ 19.29万
• 依托单位: Florida International University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-05-01 至 2025-04-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2114911&HistoricalAwards=false
• 关键词: Collaborative; Research; EAGER; SaTC; EDU

Social networks encourage casual interactions and expose users to a variety of forms of cyber abuse, which are known to have negative socio-psychological effects. Previous work has shown that only a fraction of cyber abuse victims adopt self-protective behaviors. This may occur because some victims lack the background knowledge required to identify cyber abuse and to assert appropriate protective behaviors. While education can be effective in this regard, classroom delivery may fail to reproduce the diverse and dynamic context of cyber abuse, making it difficult for students to effectively translate knowledge into practice. This project seeks to increase the adoption of self-protective behaviors by integrating educational content into social networking interactions. Artificial intelligence (AI) techniques will be used to optimize the placement and timing of educational content. The project has the potential to improve the security and privacy of vulnerable social network users.The project team will leverage their expertise in cybersecurity, AI, and education to investigate, develop and evaluate a new educational framework that provides just-in-time awareness training to identify and respond appropriately to cyber abuse when using social networks. First, the team will develop AI-based solutions to detect and classify cyber abuse based on abuse traces in the accounts of the users involved. The team will also leverage data and feedback collected from study participants to build a ground-truth dataset of instances and timelines of cyber abuse. Second, the team will design and implement targeted learning content and user interface nudges to deliver the knowledge required to make safer decisions in social network interactions. Third, the team will develop AI-based techniques to determine the ideal placement of learning content that improves user adoption of self-protective behaviors. Finally, the unique features of Facebook will be exploited to design evaluation experiments and educational outcomes-based techniques that capture user behaviors in the context of their regular Facebook interactions.This project is supported by a special initiative of the Secure and Trustworthy Cyberspace (SaTC) program to foster new, previously unexplored, collaborations between the fields of cybersecurity, artificial intelligence, and education. The SaTC program aligns with the Federal Cybersecurity Research and Development Strategic Plan and the National Privacy Research Strategy to protect and preserve the growing social and economic benefits of cyber systems while ensuring security and privacy.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.

社交网络鼓励休闲互动，并使用户暴露于各种形式的网络滥用，这些网络滥用已知具有负面的社会心理影响。先前的工作表明，只有一小部分网络滥用受害者采用自我保护行为。可能会发生这种情况，因为一些受害者缺乏识别网络滥用并主张适当保护行为所需的背景知识。尽管教育在这方面可能是有效的，但课堂交付可能无法再现网络滥用的多样化和动态背景，因此学生很难有效地将知识转化为实践。该项目旨在通过将教育内容整合到社交网络互动中来增加自我保护行为的采用。人工智能（AI）技术将用于优化教育内容的放置和时间。该项目有可能提高弱势社交网络用户的安全性和隐私性。项目团队将利用其在网络安全，AI和教育方面的专业知识来调查，开发和评估一个新的教育框架，以提供正式的认识培训，以确定并在使用社交网络时对网络滥用做出适当的反应。首先，该团队将开发基于AI的解决方案，以根据相关用户的帐户中的滥用痕迹来检测和对网络滥用进行分类。该团队还将利用从研究参与者收集的数据和反馈，以建立网络滥用实例和时间表的基础数据集。其次，团队将设计和实施目标的学习内容和用户界面，以提供在社交网络互动中做出更安全决策所需的知识。第三，团队将开发基于AI的技术，以确定学习内容的理想放置，以改善用户对自我保护行为的采用。最后，Facebook的独特功能将被利用为设计评估实验和基于教育成果的技术，这些技术在其常规Facebook互动的背景下捕获用户行为。该项目得到了一个特殊的计划，该项目由一个安全且可信赖的网络空间（SATC）计划（SATC）计划提供，以促进新的，以前是未能解释的，与以前无法解释过的Cyber​​secence of Cyber​​sececence and docealberity oferate sigtore sigtorkecore，人类智慧，人工智能之间的协作。 SATC计划与联邦网络安全研究与发展战略计划以及国家隐私研究策略保持一致，以保护和保留网络系统的社会和经济益处，同时确保安全和隐私。该奖项反映了NSF的法定任务，并认为通过基金会的知识分子和更广泛的影响，可以通过评估来进行评估，以审查Criteria。

项目成果

Strategies and Vulnerabilities of Participants in Venezuelan Influence Operations

• DOI: 10.48550/arxiv.2210.11673
• 发表时间: 2022-10
• 期刊: ArXiv
• 作者: Ruben Recabarren;Bogdan Carbunar;Nestor Hernandez;Ashfaq Ali Shafin