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dc.contributor.authorMancino, Davide
dc.contributor.authorOzan Sevim, Hasret
dc.contributor.authorSaguillo, Oriol 
dc.date.accessioned2025-10-08T08:14:33Z
dc.date.available2025-10-08T08:14:33Z
dc.date.issued2025-11-18
dc.identifier.urihttps://hdl.handle.net/20.500.12761/1970
dc.description.abstractThis student paper introduces a novel methodology for the detection and analysis of multihop cross- chain arbitrage opportunities, wherein multihop denotes arbitrage sequences involving more than two transactional steps across distinct blockchain networks, executed using sequence-dependent strategies. Utilizing a comprehensive dataset comprising over 2.4 billion transactions recorded between September 2023 and August 2024 (encompassing 12 blockchain platforms and 45 cross-chain bridges) we design and implement an algorithm capable of identifying, sequence-dependent arbitrage paths spanning multiple ecosystems. Our empirical analysis demonstrates that such arbitrage opportunities are exceedingly infrequent, underscoring the inherent challenges associated with multihop execution in cross-chain environments.es
dc.language.isoenges
dc.titleBunny Hops and Blockchain Stops: Cross-Chain MEV Detection With N-Hopses
dc.typeconference objectes
dc.conference.date18-21 November 2025es
dc.conference.placeZurich, Switzerlandes
dc.conference.titleConference on Blockchain Research & Applications for Innovative Networks and Services*
dc.event.typeconferencees
dc.pres.typepaperes
dc.rights.accessRightsopen accesses
dc.description.refereedTRUEes
dc.description.statusinpresses


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