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Bridging DeFi and Real-World Assets (RWA) with a Secure and Enforceable Punishment Policy Design: A Business Use-case Study Speaker (s): 
Ashok KASTHURI
PhD Candidate
School of Computing and Information Systems
Singapore Management University
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Time:
Venue:
| | 18 June 2024, Tuesday
3:00pm - 3:30pm
Meeting Room 4.4, Level 4
School of Computing and Information Systems 1,
Singapore Management University,
80 Stamford Road, Singapore 178902
Please register by 17 June 2024.
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About the Talk This study introduces a Web3-based solution to mitigate user malpractices on the DeFi platform by enforcing secure punishment policies, thereby unlocking the potential of real-world assets (RWAs) within Decentralized Finance (DeFi). The primary objective of this research is to apply a "punishment, not reward" policy (PnR) as a mitigation strategy against platform malpractices, such as the generation of counterfeit digital assets and collusion among aggregators. For example, an RWA warehouse owner may generate counterfeit receipts to deceive the platform for financial gains, while multiple warehouse owners could collude to manipulate market prices of assets. We design a platform that incorporates an AI (Artificial Intelligence) tool called Fraud Detection Tool (FDT) to efficiently detect counterfeit and colluding activities and automatically enforce punishment policies as a mitigation measure. The design of this platform contributes to two main ways: firstly, proposing a robust punishment policy to deter malicious activities and ensure a secure ecosystem environment; secondly, presenting a comprehensive platform design that bridges DeFi and RWA, leveraging liquid staking protocols and forward contract tokenization. This approach is exemplified through a real-world business use-case, demonstrating how it promotes financial inclusion for marginalized low-income farmers (producers of RWA agro commodities) and strengthens the agricultural value chain through transparent and secure enforceable policy verified transactions. The research concludes by outlining plans for policy enhancement, refinement, and implementation of the proposed ecosystem design solution.
This is a Pre-Conference talk for 2024 IEEE Conference on Artificial Intelligence (IEEE CAI 2024).
About the Speaker Ashok is a 2nd year PhD student supervised by Prof. JIANG Lingxiao in the field of software engineering at the School of Computing and Information Systems (SCIS). Currently, he is working on smart contract analysis for bug detection using code auditing tools and a unified blockchain policy design with enforceable penalties and dynamic sanctions. |
