{"year":"2022","volume":13411,"intvolume":" 13411","publication_identifier":{"eissn":["1611-3349"],"isbn":["9783031182822"],"eisbn":["9783031182839"],"issn":["0302-9743"]},"external_id":{"arxiv":["2110.08848"]},"publication":"Financial Cryptography and Data Security","author":[{"id":"c20482a0-3b89-11eb-9862-88cf6404b88c","full_name":"Avarikioti, Georgia","last_name":"Avarikioti","first_name":"Georgia"},{"orcid":"0000-0002-9139-1654","full_name":"Pietrzak, Krzysztof Z","id":"3E04A7AA-F248-11E8-B48F-1D18A9856A87","last_name":"Pietrzak","first_name":"Krzysztof Z"},{"full_name":"Salem, Iosif","first_name":"Iosif","last_name":"Salem"},{"full_name":"Schmid, Stefan","last_name":"Schmid","first_name":"Stefan"},{"first_name":"Samarth","last_name":"Tiwari","full_name":"Tiwari, Samarth"},{"full_name":"Yeo, Michelle X","id":"2D82B818-F248-11E8-B48F-1D18A9856A87","last_name":"Yeo","first_name":"Michelle X"}],"page":"358-373","doi":"10.1007/978-3-031-18283-9_17","_id":"12167","language":[{"iso":"eng"}],"conference":{"start_date":"2022-05-02","name":"FC: Financial Cryptography and Data Security","location":"Grenada","end_date":"2022-05-06"},"citation":{"short":"G. Avarikioti, K.Z. Pietrzak, I. Salem, S. Schmid, S. Tiwari, M.X. Yeo, in:, Financial Cryptography and Data Security, Springer Nature, 2022, pp. 358–373.","ama":"Avarikioti G, Pietrzak KZ, Salem I, Schmid S, Tiwari S, Yeo MX. Hide & Seek: Privacy-preserving rebalancing on payment channel networks. In: Financial Cryptography and Data Security. Vol 13411. Springer Nature; 2022:358-373. doi:10.1007/978-3-031-18283-9_17","chicago":"Avarikioti, Georgia, Krzysztof Z Pietrzak, Iosif Salem, Stefan Schmid, Samarth Tiwari, and Michelle X Yeo. “Hide & Seek: Privacy-Preserving Rebalancing on Payment Channel Networks.” In Financial Cryptography and Data Security, 13411:358–73. Springer Nature, 2022. https://doi.org/10.1007/978-3-031-18283-9_17.","ista":"Avarikioti G, Pietrzak KZ, Salem I, Schmid S, Tiwari S, Yeo MX. 2022. Hide & Seek: Privacy-preserving rebalancing on payment channel networks. Financial Cryptography and Data Security. FC: Financial Cryptography and Data Security, LNCS, vol. 13411, 358–373.","apa":"Avarikioti, G., Pietrzak, K. Z., Salem, I., Schmid, S., Tiwari, S., & Yeo, M. X. (2022). Hide & Seek: Privacy-preserving rebalancing on payment channel networks. In Financial Cryptography and Data Security (Vol. 13411, pp. 358–373). Grenada: Springer Nature. https://doi.org/10.1007/978-3-031-18283-9_17","ieee":"G. Avarikioti, K. Z. Pietrzak, I. Salem, S. Schmid, S. Tiwari, and M. X. Yeo, “Hide & Seek: Privacy-preserving rebalancing on payment channel networks,” in Financial Cryptography and Data Security, Grenada, 2022, vol. 13411, pp. 358–373.","mla":"Avarikioti, Georgia, et al. “Hide & Seek: Privacy-Preserving Rebalancing on Payment Channel Networks.” Financial Cryptography and Data Security, vol. 13411, Springer Nature, 2022, pp. 358–73, doi:10.1007/978-3-031-18283-9_17."},"scopus_import":"1","publisher":"Springer Nature","date_created":"2023-01-12T12:10:38Z","user_id":"c635000d-4b10-11ee-a964-aac5a93f6ac1","oa_version":"Preprint","oa":1,"alternative_title":["LNCS"],"status":"public","quality_controlled":"1","title":"Hide & Seek: Privacy-preserving rebalancing on payment channel networks","date_updated":"2023-09-05T15:10:57Z","article_processing_charge":"No","month":"10","day":"22","type":"conference","abstract":[{"lang":"eng","text":"Payment channels effectively move the transaction load off-chain thereby successfully addressing the inherent scalability problem most cryptocurrencies face. A major drawback of payment channels is the need to “top up” funds on-chain when a channel is depleted. Rebalancing was proposed to alleviate this issue, where parties with depleting channels move their funds along a cycle to replenish their channels off-chain. Protocols for rebalancing so far either introduce local solutions or compromise privacy.\r\nIn this work, we present an opt-in rebalancing protocol that is both private and globally optimal, meaning our protocol maximizes the total amount of rebalanced funds. We study rebalancing from the framework of linear programming. To obtain full privacy guarantees, we leverage multi-party computation in solving the linear program, which is executed by selected participants to maintain efficiency. Finally, we efficiently decompose the rebalancing solution into incentive-compatible cycles which conserve user balances when executed atomically."}],"main_file_link":[{"open_access":"1","url":"https://doi.org/10.48550/arXiv.2110.08848"}],"department":[{"_id":"KrPi"}],"publication_status":"published","date_published":"2022-10-22T00:00:00Z"}