In this paper, we analyze Shared Send Mixers (SSMs) within Cardano’s Extended Unspent Transaction Output (EUTXO) model, presenting significant contributions to the understanding of UTXO cryptocurrencies. Firstly, we define the EUTXO SSM untangling problem and propose an algorithm to address it, along with providing an open-source implementation of the solution. Utilizing real transaction examples, we formulate and solve this problem in a systematic manner, shedding light on the intricacies of coin circulation within the Cardano blockchain. Through our analysis, we reveal insights into the usage of SSMs, including statistics on their frequency and effectiveness in untangling transactions. Notably, our findings indicate that 11% of Cardano transactions involve SSMs, with 83% of them enabling unique untangling. Moreover, we discuss the potential application of our algorithm in enhancing address clustering results of transaction-level heuristics. Overall, our work contributes to a deeper understanding of transactional dynamics within UTXO cryptocurrencies, particularly within the context of Cardano’s EUTXO model.
Fri 26 JulDisplayed time zone: Beijing, Chongqing, Hong Kong, Urumqi change
15:30 - 16:45 | Session 3 - Transaction AnanlysisResearch Track at The ballroom B Chair(s): Cheqing Jin East China Normal University | ||
15:30 15mPaper | Transaction spatio-temporal distribution for blockchain performance profiling Research Track Jianhuan Mao Beihang University, Mengxiao Zhu North China University of Technology, Yi Sun Chinese Academy of Sciences, Lei Li Zhongguancun Laboratory, Haogang Zhu Beihang University | ||
15:45 15mPaper | Research on the Application of Large Language Model-Enhanced Graph Neural Networks in Ethereum Phishing Fraud Detection Research Track Rong Xu Inner Mongolia University, Xiaowei Ding Nanjing University, Jun Zhang Inner Mongolia University, He Li Inner Mongolia University | ||
16:00 15mPaper | Scam Token Classification for Decentralized Exchange Using Transaction Data Research Track Vladislav Amelin GBC.AI Pty Ltd, Australia, Ahmad Salehi Shahraki La Trobe University, Australia, Suparat Srifa SparkBeyond Ltd., Thailand, Tharuka Rupasinghe RMIT University, Australia, Robert Vasilyev GBC.AI Pty Ltd, Australia, Yury Yanovich Skolkovo Institute of Science and Technology; Faculty of Computer Science, HSE University | ||
16:15 15mPaper | Cardano Shared Send Transactions Untangling in Numbers Research Track Mostafa Chegenizadeh University of Zurich, Nickolay Larionov Moscow Institute of Physics and Technology, Sina Rafati Niya University of Zurich, Yury Yanovich Skolkovo Institute of Science and Technology; Faculty of Computer Science, HSE University, Claudio J. Tessone University of Zurich | ||
16:30 15mPaper | Graph-Neural-Network-Based Transaction Prediction Method for Public Blockchain in Heterogeneous Information Networks Research Track Zening Zhao Tianjin University of Technology, Jinsong Wang Tianjin University of Technology, Jiajia Wei Tianjin University of Technology | ||