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EAGER: SaTC-EDU: Artificial Intelligence and Cybersecurity Research and Education at Scale

EAGER: SaTC-EDU: Artificial Intelligence and Cybersecurity Research and Education at Scale
EAGER:SaTC-EDU:大规模人工智能和网络安全研究与教育
批准号:
2038483
负责人:
Hsinchun Chen
金额:
$29.77万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2020
资助国家:
美国
项目状态:
已结题
起止时间:
2020-08-01 至 2024-07-31

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中文摘要
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英文摘要
The regularity of devastating cyber-attacks has made cybersecurity a significant challenge for society. Artificial intelligence (AI) holds significant promise in sifting through large volumes of cybersecurity data to proactively identify emerging threats with unprecedented efficiency. However, AI and cybersecurity are diverse, complex, and rapidly evolving areas. As a result, there is a lack of a diverse workforce knowledgeable in explainable and trustworthy AI, validation of AI systems, and AI safety (including AI for security and security for AI). In order to proactively foster a vibrant AI for cybersecurity system, the project will leverage interdisciplinary academic and industry leaders to support the development of a novel “AI4Cyber” education and research program that can be delivered at scale to meet the rapidly increasing demand for a large, diverse, and well-trained AI cybersecurity workforce. The project team proposes to integrate traditionally disparate AI tools, data, and resources from industry (e.g., FireEye, Microsoft), nonprofit organizations, and National Science Foundation programs (e.g., Secure and Trustworthy Cyberspace, CyberCorps®, and Cybersecurity Innovation for Cyberinfrastructure). AI4Cyber will serve as a resource for the AI for cybersecurity community to facilitate innovative pedagogy and foster interdisciplinary research for five data-rich and ever-evolving cybersecurity applications. These applications include cyber threat intelligence, privacy analytics, disinformation and computational propaganda, security operations centers, and adversarial machine learning. The project will also help to facilitate highly visible competitions and knowledge sharing at professional societies and industry cybersecurity venues. In addition, AI4Cyber will be integrated into the first free AI for Cybersecurity Massively Open Online Course (MOOC) delivered on edX, which is the world’s largest nonprofit MOOC provider. Selected course content will also be integrated into the master’s in cybersecurity programs at the University of Arizona and Indiana University. Because both the University of Arizona and Indiana University are designated as National Security Agency and Department of Homeland Security Centers of Academic Excellence in Cyber Defense, and the University of Arizona is a Hispanic Serving Institution, not only will the proposed programs be of high quality, but they also have the potential to reach a diverse set of students and increase diversity in the AI-cybersecurity workforce. 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.
期刊论文(7)
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会议论文
DOI: 10.1145/3430360
发表时间: 2020-12-01
期刊: ACM TRANSACTIONS ON MANAGEMENT INFORMATION SYSTEMS
影响因子: 2.5
作者: [Samtani, Sagar, Kantarcioglu, Murat, Chen, Hsinchun]
通讯作者: Chen, Hsinchun
ACM KDD AI4Cyber/MLHat: Workshop on AI-enabled Cybersecurity Analytics and Deployable Defense
ACM KDD AI4Cyber​​/MLHat:人工智能网络安全分析和可部署防御研讨会
DOI: 10.1145/3534678.3542894
发表时间: 2022
期刊: ACM KDD AI4Cyber/MLHat
影响因子: --
作者: [Samtani, Sagar, Wang, Gang, Ahmadzadeh, Ali, Ciptadi, Arridhana, Yang, Shanchieh, Chen, Hsinchun]
通讯作者: Chen, Hsinchun
CICI: UCSS: Enhancing the Usability of Vulnerability Assessment Results for Open-Source Software Technologies in Scientific Cyberinfrastructure: A Deep Learning Perspective
  • 批准号:
    2319325
  • 项目类别:
    Standard Grant
  • 资助金额:
    $60.0万
  • 财政年份:
    2023
  • 负责人:
    Hsinchun Chen
  • 依托单位:
SaTC: CORE: Small: Cybersecurity Big Data Research for Hacker Communities: A Topic and Language Modeling Approach
  • 批准号:
    1936370
  • 项目类别:
    Standard Grant
  • 资助金额:
    $51.06万
  • 财政年份:
    2019
  • 负责人:
    Hsinchun Chen
  • 依托单位:
CICI: SSC: Proactive Cyber Threat Intelligence and Comprehensive Network Monitoring for Scientific Cyberinfrastructure: The AZSecure Framework
  • 批准号:
    1917117
  • 项目类别:
    Standard Grant
  • 资助金额:
    $99.8万
  • 财政年份:
    2019
  • 负责人:
    Hsinchun Chen
  • 依托单位:
Cybersecurity Scholarship-for-Service Renewal at The University of Arizona:The AZSecure SFS Program
  • 批准号:
    1921485
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $358.55万
  • 财政年份:
    2019
  • 负责人:
    Hsinchun Chen
  • 依托单位:
海外基金