Visual Programming in Cyber Range Training to Improve Skill Development

Glas, Magdalena; Vielberth, Manfred; Reittinger, Tobias; Böhm, Fabian; Pernul, Günther

doi:10.1007/978-3-031-12172-2_1

Cited by 4 publications

(3 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Trainees learn faster when using a VPL. This work represents an extension of the research we presented at the International Symposium on Human Aspects of Information Security and Assurance 2022 and which is published in the corresponding proceedings [Glas et al, 2022]. The extension of this work allowed us to conduct a more in-depth analysis of the data collected in the user study providing more detailed insight into the impact of a VPL on the participants' learning process (rf.…”

Section: Rq Can a Vpl Support Trainees In Developing Code-based Cyber...mentioning

confidence: 99%

Improving cybersecurity skill development through visual programming

Glas

Vielberth

Reittinger

et al. 2023

ICS

Self Cite

View full text Add to dashboard Cite

Purpose Cybersecurity training plays a decisive role in overcoming the global shortage of cybersecurity experts and the risks this shortage poses to organizations' assets. Seeking to make the training of those experts as efficacious and efficient as possible, this study investigates the potential of visual programming languages (VPLs) for training in cyber ranges. For this matter, the VPL Blockly was integrated into an existing cyber range training to facilitate learning a code-based cybersecurity task, namely, creating code-based correlation rules for a security information and event management (SIEM) system. Design/methodology/approach To evaluate the VPL’s effect on the cyber range training, the authors conducted a user study as a randomized controlled trial with 30 participants. In this study, the authors compared skill development of participants creating SIEM rules using Blockly (experimental group) with participants using a textual programming approach (control group) to create the rules. Findings This study indicates that using a VPL in a cybersecurity training can improve the participants' perceived learning experience compared to the control group while providing equally good learning outcomes. Originality/value The originality of this work lies in studying the effect of using a VPL to learn a code-based cybersecurity task. Investigating this effect in comparison with the conventional textual syntax through a randomized controlled trial has not been investigated yet.

show abstract

Section: Rq Can a Vpl Support Trainees In Developing Code-based Cyber...mentioning

confidence: 99%

Improving cybersecurity skill development through visual programming

Glas

Vielberth

Reittinger

et al. 2023

ICS

Self Cite

View full text Add to dashboard Cite

show abstract

“…Particularly, BBPIs rely on recognition, not recall, which reduces users' CL and allows them to prevent basic errors through direct structural manipulation (Bau, Gray, Kelleher, Sheldon, & Turbak, 2017). Glas, Vielberth, Reittinger, Böhm, and Pernul (2022) introduced a BBPI into a cyber range setup, and the BBPI users reported lower CL compared to the group using textual programming. Unal and Topu (2021) reported similar findings with BBPIs, in a different learning context.…”

Section: Bbpis In Education and Current States Of Evaluationmentioning

confidence: 99%

“…Systems with advanced computational capabilities have led to complex interactive information systems, which, in turn, can also lead to increased mental strain, stress, and the potential for inefficiency and errors among users (Kumar & Kumar, 2016). The increasing use of BBPIs in domain-specific learning underscores the importance of customization, at the same time highlighting the need for thorough content and usability assessments to ensure effective education and widespread adoption (Glas et al, 2022;Rijo-García et al, 2022). Research on noninvasive physiological measures for CL assessment is limited, and it predominantly relies on selfreported subjective measures for BBPIs.…”

Section: Physiological Cognitive Load Measurementmentioning

confidence: 99%

EEG-Based Cognitive Load Comparison in Construction Sensor Data Analytics

Khalid,

Akanmu,

Okunola

et al.

EPiC Series in Built Environment

View full text Add to dashboard Cite

With rising interest in innovative construction methodologies, global construction companies are actively exploring emerging sensing technologies and employing data analytics techniques to draw insights and improve their operations. While numerous educational disciplines employ Block-based Programming Interfaces to enhance domain-specific data-related inquiry and visualization skills, the construction sector has yet to fully explore this practical approach. Introducing block interfaces in construction education may overwhelm newcomers with excessive cognitive load. Past research has primarily relied on subjective measures, overlooking objective indicators for assessing cognitive responses to block interfaces’ interaction elements. This study evaluates the cognitive load induced using InerSens, a Block Programming Interface designed to address authentic construction challenges in ergonomic risk assessment. Electroencephalography is utilized to measure cognitive load, and the results are compared to those of a traditional tool, Excel. Theta Power Spectral Density in the frontal brain region, an indicator of cognitive load, demonstrates that in four out of six tasks, InerSens incurs lower cognitive load than Excel. The findings of this study underscore the potential of InerSens as a viable tool in managing cognitive load efficiency, paving the way for more effective and streamlined sensor data analytics learning experiences for future construction professionals.

show abstract