EAGER: SaTC-EDU: A Life-Cycle Approach for Artificial Intelligence-Based Cybersecurity Education
EAGER: SaTC-EDU: A Life-Cycle Approach for Artificial Intelligence-Based Cybersecurity Education
批准号:
2114680
负责人:
Elisa Bertino
金额:
$29.82万
依托单位:
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
项目状态:
已结题
起止时间:
2021-05-01 至 2023-10-31
中文摘要
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英文摘要
In order to devise more effective defenses against a rising number of cyber attacks, recent security solutions leverage artificial intelligence (AI) techniques. While there are plenty of publicly available AI approaches to cybersecurity, successful use depends on users’ technical and soft skills. Moreover, AI-based approaches have been intensely scrutinized with respect to their security and ethics, delaying deployment. AI itself can be attacked and there can also be issues with discrimination in AI-based classification. Thus, for AI to be effectively and quickly adopted for cybersecurity, AI security and ethics need to be assured. Training cybersecurity professionals to understand how to effectively use AI for cybersecurity and to be aware of AI security and ethics issues is critical for effective design and deployment of AI-based cybersecurity solutions. Future cybersecurity professionals must also be able effectively to communicate relevant information related to AI-based security mechanisms and policies to a variety of stakeholders. This project will design competency-driven educational activities focusing on AI techniques for cybersecurity that will increase the effective and ethical application of AI-enhanced cybersecurity. The project’s educational approach is based on four interrelated pillars. The first pillar focuses on educational activities covering a systematic AI-powered approach to cybersecurity, based on defender and attacker perspectives. The second pillar focuses on educational activities covering a systematic analysis of categories of AI attack and corresponding mitigation techniques. The third and fourth pillars focus on AI ethics and approaches to cybersecurity communications, respectively. A combination of social, philosophical, and technical perspectives will create a unique approach to cybersecurity communication. Together, the pillars provide a systematic perspective of AI-powered cybersecurity. They provide both foundational and technical competencies related to AI ethics and cybersecurity communication that benefit multiple stakeholders, from students and educators to employers and regulators. An important goal of the project is to make sure that students and educators understand that cybersecurity, including AI-based defense techniques, requires deployment of different types of defense approaches. The project includes design of educational projects, focusing on well-known data breaches and other types of attack and how AI-based security techniques could prevent or mitigate these attacks.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(1)
专著(0)
科研奖励(0)
会议论文
AI-powered Network Security: Approaches and Research Directions
人工智能驱动的网络安全:方法和研究方向
DOI:
10.1145/3491371.3491384
发表时间:
2021
期刊:
Systems and Security
影响因子:
--
作者:
[Bertino, Elisa, Karim, Imtiaz]
通讯作者:
Karim, Imtiaz
CICI: Secure Data Architecture: Collaborative Research: Assured Mission Delivery Network Framework for Secure Scientific Collaboration
-
批准号:1547390
-
项目类别:Standard Grant
-
资助金额:$13.98万
-
财政年份:2016
-
负责人:Elisa Bertino
-
依托单位:
CICI: Data Provenance: Collaborative Research: CY-DIR Cyber-Provenance Infrastructure for Sensor-Based Data-Intensive Research
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批准号:1547358
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项目类别:Standard Grant
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资助金额:$27.91万
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财政年份:2016
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负责人:Elisa Bertino
-
依托单位:
BD Spokes: PLANNING: MIDWEST: Cyberinfrastructure to Enhance Data Quality and Support Reproducible Results in Sensor Originated Big Data
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批准号:1636891
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项目类别:Standard Grant
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资助金额:$9.99万
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财政年份:2016
-
负责人:Elisa Bertino
-
依托单位:
TC: Large: Collaborative Research: Privacy-Enhanced Secure Data Provenance
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批准号:1111512
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项目类别:Continuing Grant
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资助金额:$90.0万
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财政年份:2011
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负责人:Elisa Bertino
-
依托单位:
TC: Small: Collaborative: Protocols for Privacy-Preserving Scalable Record Matching and Ontology Alignment
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批准号:1016722
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项目类别:Standard Grant
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资助金额:$24.0万
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财政年份:2010
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负责人:Elisa Bertino
-
依托单位:
IPS: Security Services for Healthcare Applications
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批准号:0712846
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项目类别:Standard Grant
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资助金额:$0.0万
-
财政年份:2007
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负责人:Elisa Bertino
-
依托单位:
Collaborative Research: A Comprehensive Policy-Driven Framework for Online Privacy Protection: Integrating IT, Human, Legal and Economic Perspectives
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批准号:0430274
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项目类别:Continuing Grant
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资助金额:$66.6万
-
财政年份:2004
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负责人:Elisa Bertino
-
依托单位:
The Design and Use of Digital Identities
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批准号:0428554
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项目类别:Standard Grant
-
资助金额:$90.0万
-
财政年份:2004
-
负责人:Elisa Bertino
-
依托单位:
海外基金