General Information
    • ISSN: 1793-8201 (Print), 2972-4511 (Online)
    • Abbreviated Title: Int. J. Comput. Theory Eng.
    • Frequency: Quarterly
    • DOI: 10.7763/IJCTE
    • Editor-in-Chief: Prof. Mehmet Sahinoglu
    • Associate Editor-in-Chief: Assoc. Prof. Alberto Arteta, Assoc. Prof. Engin Maşazade
    • Managing Editor: Ms. Cecilia Xie
    • Abstracting/Indexing: Scopus (Since 2022), INSPEC (IET), CNKI,  Google Scholar, EBSCO, etc.
    • Average Days from Submission to Acceptance: 192 days
    • APC: 800 USD
    • E-mail: editor@ijcte.org
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IJCTE 2018 Vol.10(4): 111-115 ISSN: 1793-8201
DOI: 10.7763/IJCTE.2018.V10.1209

Cybersecurity Curriculum Development Using AI and Decision Support Expert System

Rania Hodhod, Shuangbao Wang, and Shamim Khan

Abstract—Cybersecurity has become one of the most important challenges facing the world nowadays. The increasing incidence of cybersecurity attacks on both individuals and businesses underscores the need for IT security professionals who specialize in cybersecurity. Cybersecurity National Action Plan (CNAP) is a comprehensive plan that was developed by the US but can be applied worldwide to address the cybersecurity issues by taking actions to expand cybersecurity workforce, to enhance cybersecurity education and training, and to improve cybersecurity curriculum to meet the challenge. Given the lack of expertise needed to educate the youth and professionals in cybersecurity, intelligent systems can play an important role to expedite cybersecurity education and training by helping novice cybersecurity instructors develop cybersecurity curricula and training programs. This paper presents viCyber, a cloud-based visual and intelligent tool for rapid development of cybersecurity curriculum based on the Cybersecurity Workforce Framework developed by the National Initiative for Cybersecurity Education (NICE).

Index Terms—Cybersecurity, curriculum development, NICE framework, intelligent systems.

The authors are with the Columbus State University (CSU), Columbus, Georgia, USA (e-mail: hodhod_rania@columbusstate.edu, wang_shuangboa@columbusstate.edu, khan_shamim@columbusstate.edu).

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Cite:Rania Hodhod, Shuangbao Wang, and Shamim Khan, "Cybersecurity Curriculum Development Using AI and Decision Support Expert System," International Journal of Computer Theory and Engineering vol. 10, no. 4, pp. 111-115, 2018.


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