A Cognitive Approach to Improving Binary Reverse Engineering with Immersive Virtual Reality

Through its affordances, immersive virtual reality (VR) offers a means to apply embodied and external cognition from the physical realm to solving analytical problems that are typically only conceptual. We present an example of executing a structured analysis following the tenets of cognitive systems engineering to derive immersive affordances applicable to a difficult analytical problem, in our case, reverse engineering (RE) binary programs. We conducted a basic cognitive task analysis of the problem to reveal features of its cognitive model and their associated fundamental cognitive phenomena, and then we mapped those concepts to immersive affordances associated with those concepts. We implemented a subset of those affordances in a VR system facilitating discovery of features of a binary program. Feedback from RE practitioners drove the initial development of the system and we are preparing for a formal effectiveness study to inform the direction of future research.

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Publication Details

Published
2024-10-06
DOI
https://doi.org/10.1109/vissoft64034.2024.00023
Citations
3
Primary Topic
Augmented Reality Applications
Type
article
Field-Weighted Citation Impact
0.75
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article

A Cognitive Approach to Improving Binary Reverse Engineering with Immersive Virtual Reality

Julian Bauer, Samuel Mulder, Dennis Brown, Luke Wittbrodt
3 citations
Augmented Reality Applications
0.75
article

A Cognitive Approach to Improving Binary Reverse Engineering with Immersive Virtual Reality

Julian Bauer, Samuel Mulder, Dennis Brown, Luke Wittbrodt
article en
3 citations

Abstract

Through its affordances, immersive virtual reality (VR) offers a means to apply embodied and external cognition from the physical realm to solving analytical problems that are typically only conceptual. We present an example of executing a structured analysis following the tenets of cognitive systems engineering to derive immersive affordances applicable to a difficult analytical problem, in our case, reverse engineering (RE) binary programs. We conducted a basic cognitive task analysis of the problem to reveal features of its cognitive model and their associated fundamental cognitive phenomena, and then we mapped those concepts to immersive affordances associated with those concepts. We implemented a subset of those affordances in a VR system facilitating discovery of features of a binary program. Feedback from RE practitioners drove the initial development of the system and we are preparing for a formal effectiveness study to inform the direction of future research.

Auburn University (US)
Openalex Percentile: Top 26%
Augmented Reality Applications
0.75
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