The Cybersecurity Packet Control Simulator: CSPCS

Loftus, Neil; Green, Cameron; Narman, Husnu S.

doi:10.1109/ghtc55712.2022.9911042

Cited by 3 publications

(5 citation statements)

References 7 publications

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“…In order to measure the effectiveness of the program, the non-ML application was tested with a group of approximately 30 college students in computer science or computer science adjacent fields [ 7 ]. These students were tasked with completing a pre-survey, using the application, and then completing a post-survey.…”

Section: Resultsmentioning

confidence: 99%

“…For this paper, we will only be discussing the functionality of the new command line system of input. Details about the button-based system of input can be found in [ 7 ].…”

Section: Application Developmentmentioning

confidence: 99%

“…Previously, we created an interactive program known as “the cybersecurity packet control simulator” (CSPCS) to teach students about the subjects of cybersecurity, internet working, and data structures [ 7 , 8 ]. The CSPCS application is based on previous research into the use of visual tools for computer science education, which showed that 54% of students preferred learning about data structures with an interactive augmented reality (AR) program, as opposed to more traditional methods [ 8 ].…”

Section: Introductionmentioning

confidence: 99%

“…Moreover, the CSPCS application without an auto-feedback version has been tested with a group of university students and is generally well received, with students having a 45% increase in self-evaluated understanding of the topics after using the program, as well as the overall experience rating averaging out to 3.67/5 [ 7 ]. The primary issues users have with the CSPCS application without an auto-feedback are with the user interface and explanation of concepts.…”

Section: Introductionmentioning

confidence: 99%

“…The objective of this paper is to develop a machine learning-based auto-feedback system over our previously developed application [ 7 ]. The key contributions of this paper is (i) the implementation of the application based on auto-feedback and console features— (accessed on 22 November 2022), (ii) the development of the machine learning model to provide feedback, (iii) carrying on field testing, and (iv) comparing the machine learning-based feedback (ML) and non-feedback (non-ML) versions based on our gathered data and users’ feedback.…”

Section: Introductionmentioning

confidence: 99%

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Use of Machine Learning in Interactive Cybersecurity and Network Education

Loftus

Narman

2023

Sensors

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Cybersecurity is a complex subject for students to pursue. Hands-on online learning through labs and simulations can help students become more familiar with the subject at security classes to pursue cybersecurity education. There are several online tools and simulation platforms for cybersecurity education. However, those platforms need more constructive feedback mechanisms, and customizable hands-on exercises for users, or they oversimplify or misrepresent the content. In this paper, we aim to develop a platform for cybersecurity education that can be used either with a user interface or command line and provide auto constructive feedback for command line practices. Moreover, the platform currently has nine levels to practice for different subjects of networking and cybersecurity and a customizable level to create a customized network structure to test. The difficulty of objectives increases at each level. Moreover, an automatic feedback mechanism is developed by using a machine learning model to warn users about their typographical errors while using the command line to practice. A trial was performed with students completing a survey before and after using the application to test the effects of auto-feedback on users’ understanding of the subjects and engagement with the application. The machine learning-based version of the application has a net increase in the user ratings of almost every survey field, such as user-friendliness and overall experience.

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Section: Resultsmentioning

confidence: 99%

“…For this paper, we will only be discussing the functionality of the new command line system of input. Details about the button-based system of input can be found in [ 7 ].…”

Section: Application Developmentmentioning

confidence: 99%