Emerging Ecosystems (AR/VR/Voice)
AR/VR Research
Virtual reality (VR) and augmented reality (AR) are emerging technologies that have the potential to revolutionize the way we interact with the world around us. However, these technologies also raise significant security and privacy concerns.
This research project will examine the security and privacy issues in VR-based ecosystems. The project will focus on the following research questions:
What are the security and privacy risks associated with VR? How can these risks be mitigated? What are the ethical implications of VR security and privacy? The project will use a mixed-methods approach, including a literature review, a survey of the public, and interviews with industry experts.
The findings of this project will help to inform the design of VR-based ecosystems that are more secure and private. The findings will also be of interest to businesses and policymakers, who are responsible for developing policies that protect user privacy in VR.
Keywords: VR, AR, security, privacy, data leaks, online digital harassment
This research project is expected to make a significant contribution to the field of VR security and privacy. The project will provide a comprehensive overview of the security and privacy risks associated with VR, and will identify design principles for making VR-based ecosystems more secure and private. The findings of the project will be of interest to businesses, policymakers, and the general public.
Here are some specific examples of security and privacy issues in VR-based ecosystems:
Data leaks: VR devices can collect a vast amount of data about users, including their physical movements, facial expressions, and voice recordings. This data could be leaked or stolen, which could expose users to identity theft, fraud, or other forms of harm. Online digital harassment: VR can be used to create realistic and immersive environments, which could be used to facilitate online harassment. For example, a user could be harassed by being followed or stalked in a VR environment. Security vulnerabilities: VR devices and software can contain security vulnerabilities that could be exploited by malicious actors. For example, a vulnerability could be used to steal user data or to take control of a VR device. These are just a few of the security and privacy issues that need to be addressed in VR-based ecosystems. The research project described above will help to identify and mitigate these risks, making VR a more secure and private technology.
Voice Assistant Research
Voice assistants are becoming increasingly popular, as they offer a convenient way to interact with devices and services. However, these technologies also raise significant security and privacy concerns.
This research project will examine the security and privacy issues in voice-based ecosystems. The project will focus on the following research questions:
What are the security and privacy risks associated with voice assistants? How can these risks be mitigated? What are the ethical implications of voice assistant security and privacy? The project will use a mixed-methods approach, including a literature review, a survey of the public, and interviews with industry experts.
The findings of this project will help to inform the design of voice-based ecosystems that are more secure and private. The findings will also be of interest to businesses and policymakers, who are responsible for developing policies that protect user privacy in voice assistants.
Keywords: voice assistants, security, privacy, data leaks, malicious developers, fingerprinting of voice commands
This research project is expected to make a significant contribution to the field of voice assistant security and privacy. The project will provide a comprehensive overview of the security and privacy risks associated with voice assistants, and will identify design principles for making voice-based ecosystems more secure and private. The findings of the project will be of interest to businesses, policymakers, and the general public.
Here are some specific examples of security and privacy issues in voice-based ecosystems:
Data leaks: Voice assistants can collect a vast amount of data about users, including their voice recordings, search history, and location data. This data could be leaked or stolen, which could expose users to identity theft, fraud, or other forms of harm. Malicious developers: These emerging platforms offer developers a chance to extend their functionality via a concept similar to apps (e.g Skills, Actions) Malicious developers could create malicious “apps” that could be used to exploit users. For example, a malicious command could be used to steal user data or trick them into giving senstive information or wrong actions. Fingerprinting of voice commands: Voice assistants can be used to fingerprint users’ voice commands. This means information about how users are interacting with their smart homes are leaked and can be used for targetted advertisements.
These are just a few examples of the security and privacy issues that need to be addressed in voice-based ecosystems. The research project described above will help to identify and mitigate these risks, making voice assistants a more secure and private technology.
In addition to the above, voice-based ecosystems also present additional challenges due to their different mode of operation. For example, voice assistants are always listening, which means that they could be used to collect data even when the user is not actively using them. This could raise concerns about user privacy. Additionally, voice assistants (in mobile apps) are often used in public places, which could make them more vulnerable to eavesdropping.
The research project described above will take into account these challenges and will propose solutions to address them. The findings of the project will help to make voice-based ecosystems more secure and private, and will help to shape the future architecture designs of these technologies.