4 citations · 5 across the 7 of their papers we have counts for
5 papers · 1 filter
The Bidding Games: Reinforcement Learning for MEV Extraction on Polygon Blockchain
Andrei Seoev, Leonid Gremyachikh, Anastasiia Smirnova +8
In blockchain networks, the strategic ordering of transactions within blocks has emerged as a significant source of profit extraction, known as Maximal Extractable Value (MEV). The…
SwarmRaft: Leveraging Consensus for Robust Drone Swarm Coordination in GNSS-Degraded Environments
Kapel Dev, Yash Madhwal, Sofia Shevelo +2
Unmanned aerial vehicle (UAV) swarms are increasingly used in critical applications such as aerial mapping, environmental monitoring, and autonomous delivery. However, the reliabil…
BugMagnifier: TON Transaction Simulator for Revealing Smart Contract Vulnerabilities
Yury Yanovich, Victoria Kovalevskaya, Maksim Egorov +6
The Open Network (TON) blockchain employs an asynchronous execution model that introduces unique security challenges for smart contracts. A primary concern is race conditions arisi…
From Paradigm Shift to Audit Rift: Empirical Analysis and Validation of Security Audit Methodologies for Asynchronous Smart Contract Systems
Yury Yanovich, Sergey Sobolev, Yash Madhwal +6
The Open Network (TON) is a high-performance blockchain platform designed for scalability and efficiency, leveraging an asynchronous execution model and a multi-layered architectur…
Unpacking Maximum Extractable Value on Polygon: A Study on Atomic Arbitrage
Daniil Vostrikov, Yash Madhwal, Andrey Seoev +4
The evolution of blockchain technology, from its origins as a decentralized ledger for cryptocurrencies to its broader applications in areas like decentralized finance (DeFi), has…