Augmented Reality Cybersecurity Training Apparatus
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Solution Overview
Problem
Conventional cybersecurity training methods are abstract and one-size-fits-all, failing to provide a relatable and effective experience for employees, as they often rely on online materials that do not account for individual work environments and are not interactive.
Innovation Solution
An interactive cybersecurity training apparatus using augmented reality that overlays computer-generated cybersecurity risk objects onto a user's real-world workspace environment, allowing for customized training by recognizing and responding to the user's interactions with their specific workspace items, updating a scorecard based on correct actions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional online cybersecurity training materials are used, then training delivery is simple and成本低, but the training is abstract and not relatable to individual work environments
Solution Approach 1:
The system creates virtual copies of real-world workspace objects (laptops, documents, coffee cups, plants) and places them in the user's actual workspace environment. These virtual objects replicate physical items the user already has, allowing training scenarios to be customized to each user's specific workspace without requiring complex physical setup changes.
Solution Approach 2:
The augmented reality application serves as an intermediary layer between the user and their workspace, overlaying virtual cybersecurity training objects onto the real physical environment. This mediator enables customized training delivery while maintaining the simplicity of the physical workspace, resolving the contradiction between customization and complexity.
2Adaptability or versatility
If one-size-fits-all training modules are used, then training delivery is efficient and quick, but the training does not account for individual work environments
Solution Approach 1:
The system automatically captures images of the user's workspace environment and uses image recognition to identify physical objects. It then autonomously generates customized training scenarios based on the detected objects, eliminating the need for manual setup time while providing environment-specific training content tailored to each user's workspace.
Solution Approach 2:
The system performs preliminary actions by pre-processing the workspace environment capture and object identification before training delivery. Virtual training objects are generated and positioned in advance based on the user's actual workspace layout, so that when training begins, it is already customized and ready for immediate interaction without time loss.
3Ease of operation
If abstract graphical user interface training is used, then training material is easy to produce, but user engagement and understanding are reduced
Solution Approach 1:
The system transitions from traditional 2D graphical user interface training to 3D augmented reality training by overlaying virtual objects in the user's physical workspace. This dimensional enhancement maintains ease of material production through digital rendering while dramatically improving user engagement by making training concrete, interactive, and relevant to the user's actual environment.
Data Source
AI summary
Disclosed herein is a security training apparatus configured to operate an interactive cybersecurity training application, which provides customized and tailored cybersecurity training to each employee of an organization. The security training apparatus uses augmented reality to facilitate customized cybersecurity training for each user. The augmented reality is a computer application, which deals with the combination of real world images of personal workspace environment of each user where the cyber-crime may occur and computer generated data associated with cybersecurity risk objects that may aid the cyber-crime. The interactive cybersecurity training comprises the use of live video imagery of the personal workspace environment of each user, which is digitally processed and augmented by the addition of computer generated graphics associated with the cybersecurity risk objects. The cybersecurity risk objects are selected based on the items within the personal workspace environment for each user.