Lanturn: Measuring Economic Security of Smart Contracts Through Adaptive Learning

ePrint Report: Lanturn: Measuring Economic Security of Smart Contracts Through Adaptive Learning

Kushal Babel, Mojan Javaheripi, Yan Ji, Mahimna Kelkar, Farinaz Koushanfar, Ari Juels

We introduce Lanturn: a general purpose adaptive learning-based framework for measuring the cryptoeconomic security of composed decentralized-finance (DeFi) smart contracts. Lanturn discovers strategies comprising of concrete transactions for extracting economic value from smart contracts interacting with a particular transaction environment. We formulate the strategy discovery as a black-box optimization problem and leverage a novel adaptive learning-based …

contracts decentralized decentralized-finance defi economic economic security eprint report finance framework general measuring purpose report security smart smart contracts strategies