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Thesis Defence: Mitigating Maximal Extractable Value Via Multiparty Delay Encryption

December 8, 2023 at 2:00 pm - 6:00 pm

Amirhossein Khajehpour

Amirhossein Khajehpour, supervised by Dr. Chen Feng, will defend their thesis titled “Mitigating Maximal Extractable Value Via Multiparty Delay Encryption” in partial fulfillment of the requirements for the degree of Master of Applied Science in Electrical Engineering.

An abstract for Amirhossein Khajehpour’s thesis is included below.

Defences are open to all members of the campus community as well as the general public. Please email chen.feng@ubc.ca to receive the Zoom link for this defence.


ABSTRACT

Ethereum is a decentralized and permissionless network offering several attractive features. However, block proposers in Ethereum can exploit the order of transactions to extract value. This phenomenon, known as maximal extractable value (MEV), not only disrupts the optimal functioning of different protocols but also undermines the stability of the underlying consensus mechanism.

In this work, we present a new method to alleviate the MEV problem by separating transaction inclusion and execution, keeping transactions encrypted before execution. We formulate the notion of multiparty delay encryption (MDE) and construct a practical MDE scheme based on time-lock puzzles. Unlike other encryption-based methods, our method excels in scalability (in terms of transaction decryption), efficiency (minimizing communication and storage overhead), and security (with minimal trust assumptions). To demonstrate the effectiveness of our MDE scheme, we have implemented it on a local Ethereum testnet. We also prove that with the presence of just one honest attestation aggregator per slot, the MEV threat can be significantly mitigated in a practical way.

Details

Date:
December 8, 2023
Time:
2:00 pm - 6:00 pm

Additional Info

Registration/RSVP Required
Yes (see event description)
Event Type
Thesis Defence
Topic
Research and Innovation, Science, Technology and Engineering
Audiences
Alumni, Community, Faculty, Staff, Families, Partners and Industry, Students, Postdoctoral Fellows and Research Associates