glassGrade
***Bringing security to Ledger transactions through native XRPL protocol innovations.***
Project Information
At a Glance
Bringing security to Ledger transactions through native XRPL protocol innovations.
Description
glassGrade aims to bridge a notable gap in Ledger's XRP transaction security. There currently exists no standard of clear signing like that of Etheruem and Solana which stems from a lack of user-focused efforts to protect against phishing and erroneous transactions.
Our solution is simple and can be easily implemented into the Ledger ecosystem: A user will initiate a transaction of XRP -> a QR code will be generated -> the page hosts a simple dashboard -> the wallet in question will be assigned a glassGrade based on industry-standard reputability metrics -> an AI summary will help explain the glassGrade in plain language -> the user is now fully informed on the security of the transaction.
Technical Details
Architecture
glassGrade's architecture is best explained by following the flow. For our demonstration, we use Speculos to emulate a hard-wallet UI. In the demo, we create real testnet wallets and fund them programmatically via the standard XRPL-JS library. We execute a transaction to an XRPL wallet, and a QR code is dynamically generated in the backend which will take the user to glassGrade. A payload containing the relevant information of the transaction is generated and parsed to assign the wallet a glassGrade and show relevant metrics on the dashboard. The AI summary is provided by Jev who looks at the glassGrade and the reason for the grade and explains to the user any potential risk. The user can now make an informed decision on whether or not to approve the transaction.
Team
5Shiva Kabalee
shariva User
Jagannath Sritinath Nair
heet jani
XRPL User
Hackathon
AI & Fintech XRP Ledger Hackathon
Duration
Oct 24, 8:30 AM - Oct 25, 8:00 PM EDT
Prizes Won
1Prizes Won
1 prize awarded