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Award Abstract # 1620868
IUSE: Collaborative Project: Engaged Student Learning: Design and Development, Level I: Broadening the Path to the STEM Profession Through Cybersecurity Learning

NSF Org: DUE
Division Of Undergraduate Education
Recipient: UNIVERSITY OF SOUTH FLORIDA
Initial Amendment Date: March 3, 2016
Latest Amendment Date: July 12, 2024
Award Number: 1620868
Award Instrument: Standard Grant
Program Manager: Paul Tymann
ptymann@nsf.gov
 (703)292-2832
DUE
 Division Of Undergraduate Education
EDU
 Directorate for STEM Education
Start Date: September 15, 2015
End Date: August 31, 2025 (Estimated)
Total Intended Award Amount: $153,956.00
Total Awarded Amount to Date: $161,488.00
Funds Obligated to Date: FY 2015 = $145,487.00
FY 2022 = $16,000.00
History of Investigator:
  • Kaiqi Xiong (Principal Investigator)
    xiongk@usf.edu
Recipient Sponsored Research Office: University of South Florida
4202 E FOWLER AVE
TAMPA
FL  US  33620-5800
(813)974-2897
Sponsor Congressional District: 15
Primary Place of Performance: University of South Florida
FL  US  33612-9446
Primary Place of Performance
Congressional District:
15
Unique Entity Identifier (UEI): NKAZLXLL7Z91
Parent UEI:
NSF Program(s): S-STEM-Schlr Sci Tech Eng&Math,
IUSE
Primary Program Source: 04002223DB NSF Education & Human Resource
04001516DB NSF Education & Human Resource

1300XXXXDB H-1B FUND, EDU, NSF
Program Reference Code(s): 8209, 9178, 9251, SMET
Program Element Code(s): 153600, 199800
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.076

ABSTRACT

The significance and importance of this project resides in the diversification and broadening of the STEM talent pipeline in cybersecurity in predominantly undergraduate and liberal arts schools (small institutions). This is achieved by the creation of a curriculum that accommodates students of different levels of computer literacy, that focuses on experiential learning, and that utilizes institutional collaboration via cloud computing. This project will mitigate the challenges small institutions currently face in the cybersecurity area, for example, a tight computer science curriculum and the inability to support the expensive infrastructure required for cybersecurity education. Integrated into this project is research as to whether using this new curriculum and the related online projects, students will attain the same, or an increase, level of cybersecurity learning.

This project will address the above challenges by creating a range of cybersecurity learning opportunities that emphasize hands-on and realistic experimentation for students in small institutions. First, this project will attract a diverse population of students by introducing cybersecurity topics through multiple paths of study and engagement. Students will be introduced to cybersecurity concepts through manageable, stand alone course modules and laboratory exercises. Interested students can study further by taking two cybersecurity focused courses and cybersecurity capstone projects created by this project. Using all these materials students can create a cybersecurity concentration. Second, the project will use the Global Environment for Network Innovation (GENI) infrastructure in the development of empirical labs and the capstone project assignments. GENI offers an affordable cloud solution to small institutions that lack the infrastructure to support sophisticated computer labs. The learning impact of the new curriculum will be evaluated by quantitative competency assessments that are administered yearly. Student cybersecurity persistence will be assessed by a longitudinal study of the number of cybersecurity courses taken during a student's course of study. Qualitative assessment of the curriculum will take the form of student interviews and focus groups to gauge attitude towards course modules, perception of learning gains and comfort level with the pedagogies employed. In addition to the collaboration of three college level institutions, this project will leverage relationships with local community colleges to further develop a cybersecurity workforce. This partnership provides a diverse set of students that will support the evidence-based evaluation of student cybersecurity learning via this approach.

PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

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(Showing: 1 - 10 of 13)
J. Lin and K. Xiong "Applying the Mahalanobis distance to develop robust approaches against false data injection attacks on dynamic power state estimation" Elsevier Computers and Security , v.108 , 2021
Long Dang, Thushari Hapuarachchi, Kaiqi Xiong, and Jing Lin  "Improving Machine Learning Robustness via Adversarial Training" International Conference on ComputerCommunication and Networks , 2023
M. Pham and K. Xiong "A survey on security attacks and defense techniques for connected and autonomous vehicles" Elsevier Computers and Security , v.109 , 2021
M. Rahouti and K. Xiong "A customized educational booster for online students in cybersecurity education" The 12th International Conference on computer supported education (CSEDU) , 2019
M. Rahouti and K. Xiong "Facilitation of Cybersecurity Learning Through Real-World Hands-On Labs" ASEE Annual Conference , 2019
M. Rahouti and K. Xiong "Understanding Global Environment for Network Innovation and Software-Defined Networking (SDN) for computer networking and security education" AAAS/NSF IUSE Summit , 2022
M. Rahouti and K. Xiong "Understanding Global Environment for Network Innovations (GENI) and Software-Defined Networking (SDN) for Computer Networking and Security Education" ASEE Annual Conference , 2019
M. Rahouti, K. Xiong, and J. Lin "Leveraging cloud-based testbed and software defined networking for cybersecurity and networking education" Engineering Reports, Wiley , 2021
M. Rahouti, K. Xiong, and Y. Xin "Secure software-defined networking communication systems for smart cities: current status, challenges, and trends" IEEE Access , 2021
M. Rahouti, K. Xiong, N. Ghani, and Farooq Shaikh "SYNGuard: Dynamic threshold-based SYN flood attack detection and mitigation in software-defined networks," IET Networks , 2021
M. Rahouti, K. Xiong, Y. Xin, and N. Ghani "QoSP: A priority-based queuing mechanism in software-defined networking environments" Proceedings of the 40th International Performance Computing and Communications Conference (IPCCC) , 2021
(Showing: 1 - 10 of 13)

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