activity
20242026
collaborators

7 papers

cs.CR2026

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…

cs.GT2025

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…

cs.DC2025

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…

cs.DC2025

Detecting Rug Pulls in Decentralized Exchanges: Machine Learning Evidence from the TON Blockchain

Dmitry Yaremus, Jianghai Li, Alisa Kalacheva +2

This paper presents a machine learning framework for the early detection of rug pull scams on decentralized exchanges (DEXs) within The Open Network (TON) blockchain. TON's unique…

cs.DC2025

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…

q-fin.MF2024

Backtesting Framework for Concentrated Liquidity Market Makers on Uniswap V3 Decentralized Exchange

Andrey Urusov, Rostislav Berezovskiy, Yury Yanovich

Decentralized finance (DeFi) has revolutionized the financial landscape, with protocols like Uniswap offering innovative automated market-making mechanisms. This article explores t…