The National Cybersecurity Consortium (NCC) announced that Carleton’s Masoud Barati has been awarded $88,800 for his cybersecurity project: Privacy Assurance for Canadian Children: A Safe and Secure Framework for Large Language Models.
Barati’s team hopes to improve online children’s data protection by introducing a new privacy-preserving software framework. As children are particularly vulnerable to privacy risks due to a lack of awareness of security practices, Barati is addressing the need for personal data measures specifically for children. Barati’s framework will work within Large Language Models (LLM)-based platforms, like search engines and online games.
By incorporating Canadian regulations and international cybersecurity best practices, Barati’s team aims to incorporate enhanced requirements such as:
- obtaining verifiable parental consent,
- providing clear notices about data protection practices,
- implementing data security measures, and
- granting parents control over data processing steps.
The new tool will monitor children’s data in real time, enabling improved enforcement of data regulation to protect children.
Learn more about Barati’s project and how his team will use the funds to protect children from privacy risks online.
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This entry was posted on November 11, 2024 at 1:06 pm and is filed under Commentary with tags NCC. You can follow any responses to this entry through the RSS 2.0 feed.
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Carleton Researcher Receives National Cybersecurity Consortium Funding to Improve Children’s Online Safety
The National Cybersecurity Consortium (NCC) announced that Carleton’s Masoud Barati has been awarded $88,800 for his cybersecurity project: Privacy Assurance for Canadian Children: A Safe and Secure Framework for Large Language Models.
Barati’s team hopes to improve online children’s data protection by introducing a new privacy-preserving software framework. As children are particularly vulnerable to privacy risks due to a lack of awareness of security practices, Barati is addressing the need for personal data measures specifically for children. Barati’s framework will work within Large Language Models (LLM)-based platforms, like search engines and online games.
By incorporating Canadian regulations and international cybersecurity best practices, Barati’s team aims to incorporate enhanced requirements such as:
The new tool will monitor children’s data in real time, enabling improved enforcement of data regulation to protect children.
Learn more about Barati’s project and how his team will use the funds to protect children from privacy risks online.
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This entry was posted on November 11, 2024 at 1:06 pm and is filed under Commentary with tags NCC. You can follow any responses to this entry through the RSS 2.0 feed. You can leave a response, or trackback from your own site.