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Softw. Eng. Methodol."],"published-print":{"date-parts":[[2023,1,31]]},"abstract":"<jats:p>\n            Tokens have become an essential part of blockchain ecosystem, so recognizing token transfer behaviors is crucial for applications depending on blockchain. Unfortunately, existing solutions cannot recognize token transfer behaviors accurately and efficiently because of their incomplete patterns and inefficient designs. This work proposes\n            <jats:monospace>TokenAware<\/jats:monospace>\n            , a novel online system for recognizing token transfer behaviors. To improve accuracy,\n            <jats:monospace>TokenAware<\/jats:monospace>\n            infers token transfer behaviors from modifications of internal bookkeeping of a token smart contract for recording the information of token holders (e.g., their addresses and shares). However, recognizing bookkeeping is challenging, because smart contract bytecode does not contain type information.\n            <jats:monospace>TokenAware<\/jats:monospace>\n            overcomes the challenge by first learning the instruction sequences for locating basic types and then deriving the instruction sequences for locating sophisticated types that are composed of basic types. To improve efficiency,\n            <jats:monospace>TokenAware<\/jats:monospace>\n            introduces four optimizations. We conduct extensive experiments to evaluate\n            <jats:monospace>TokenAware<\/jats:monospace>\n            with real blockchain data. Results show that\n            <jats:monospace>TokenAware<\/jats:monospace>\n            can automatically identify new types of bookkeeping and recognize 107,202 tokens with 98.7% precision.\n            <jats:monospace>TokenAware<\/jats:monospace>\n            with optimizations merely incurs 4% overhead, which is 1\/345 of the overhead led by the counterpart with no optimization. Moreover, we develop an application based on\n            <jats:monospace>TokenAware<\/jats:monospace>\n            to demonstrate how it facilitates malicious behavior detection.\n          <\/jats:p>","DOI":"10.1145\/3560263","type":"journal-article","created":{"date-parts":[[2022,8,29]],"date-time":"2022-08-29T12:04:08Z","timestamp":1661774648000},"page":"1-35","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":12,"title":["TokenAware: Accurate and Efficient Bookkeeping Recognition for Token Smart Contracts"],"prefix":"10.1145","volume":"32","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2131-1046","authenticated-orcid":false,"given":"Zheyuan","family":"He","sequence":"first","affiliation":[{"name":"University of Electronic Science and Technology of China, Chengdu, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4368-0950","authenticated-orcid":false,"given":"Shuwei","family":"Song","sequence":"additional","affiliation":[{"name":"University of Electronic Science and Technology of China, Chengdu, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2475-4232","authenticated-orcid":false,"given":"Yang","family":"Bai","sequence":"additional","affiliation":[{"name":"University of Electronic Science and Technology of China, Chengdu, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9082-3208","authenticated-orcid":false,"given":"Xiapu","family":"Luo","sequence":"additional","affiliation":[{"name":"The Hong Kong Polytechnic University, Hong Kong, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9165-8331","authenticated-orcid":false,"given":"Ting","family":"Chen","sequence":"additional","affiliation":[{"name":"University of Electronic Science and Technology of China, Chengdu, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1989-1224","authenticated-orcid":false,"given":"Wensheng","family":"Zhang","sequence":"additional","affiliation":[{"name":"University of Electronic Science and Technology of China, Chengdu, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0094-7213","authenticated-orcid":false,"given":"Peng","family":"He","sequence":"additional","affiliation":[{"name":"University of Electronic Science and Technology of China, Chengdu, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1961-7946","authenticated-orcid":false,"given":"Hongwei","family":"Li","sequence":"additional","affiliation":[{"name":"University of Electronic Science and Technology of China, Chengdu, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8916-6645","authenticated-orcid":false,"given":"Xiaodong","family":"Lin","sequence":"additional","affiliation":[{"name":"University of Guelph, Guelph, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8673-9284","authenticated-orcid":false,"given":"Xiaosong","family":"Zhang","sequence":"additional","affiliation":[{"name":"University of Electronic Science and Technology of China, Chengdu, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2023,2,13]]},"reference":[{"key":"e_1_3_2_2_2","unstructured":"0x Protocol. 2022. 0x Documentation. 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