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SVScanner: Detecting smart contract vulnerabilities via deep semantic extraction

Hengyan Zhang, Weizhe Zhang Orcid Logo, Yuming Feng Orcid Logo, Yang Liu Orcid Logo

Journal of Information Security and Applications, Volume: 75, Start page: 103484

Swansea University Author: Yang Liu Orcid Logo

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DOI (Published version): 10.1016/j.jisa.2023.103484

Published in: Journal of Information Security and Applications
ISSN: 2214-2126
Published: Elsevier BV 2023
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa67209
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first_indexed 2024-08-27T16:11:41Z
last_indexed 2024-08-27T16:11:41Z
id cronfa67209
recordtype SURis
fullrecord <?xml version="1.0" encoding="utf-8"?><rfc1807 xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:xsd="http://www.w3.org/2001/XMLSchema"><bib-version>v2</bib-version><id>67209</id><entry>2024-07-29</entry><title>SVScanner: Detecting smart contract vulnerabilities via deep semantic extraction</title><swanseaauthors><author><sid>ba37dab58c9093dc63c79001565b75d4</sid><ORCID>0000-0003-2486-5765</ORCID><firstname>Yang</firstname><surname>Liu</surname><name>Yang Liu</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2024-07-29</date><deptcode>MACS</deptcode><abstract/><type>Journal Article</type><journal>Journal of Information Security and Applications</journal><volume>75</volume><journalNumber/><paginationStart>103484</paginationStart><paginationEnd/><publisher>Elsevier BV</publisher><placeOfPublication/><isbnPrint/><isbnElectronic/><issnPrint>2214-2126</issnPrint><issnElectronic/><keywords>Blockchain; Smart contract; Vulnerability detection; Deep learning; Deep semantic extraction</keywords><publishedDay>1</publishedDay><publishedMonth>6</publishedMonth><publishedYear>2023</publishedYear><publishedDate>2023-06-01</publishedDate><doi>10.1016/j.jisa.2023.103484</doi><url/><notes/><college>COLLEGE NANME</college><department>Mathematics and Computer Science School</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>MACS</DepartmentCode><institution>Swansea University</institution><apcterm/><funders>This work was supported in part by the Shenzhen Colleges and Universities Stable Support Program No. GXWD20220817124251002, the Fundamental Research Funds for the Central Universities under Grant HIT.OCEF.2021007, the Joint Funds of the National Natural Science Foundation of China (Grant No. U22A2036), the Shenzhen Science and Technology Research and Development Fundation No. JCYJ20190806143418198, and the Guangdong Provincial Key Laboratory of Novel Security Intelligence Technologies (2022B1212010005).</funders><projectreference/><lastEdited>2024-08-27T17:11:56.7751362</lastEdited><Created>2024-07-29T12:50:12.3834661</Created><path><level id="1">Faculty of Science and Engineering</level><level id="2">School of Mathematics and Computer Science - Computer Science</level></path><authors><author><firstname>Hengyan</firstname><surname>Zhang</surname><order>1</order></author><author><firstname>Weizhe</firstname><surname>Zhang</surname><orcid>0000-0003-4783-876x</orcid><order>2</order></author><author><firstname>Yuming</firstname><surname>Feng</surname><orcid>0000-0001-8922-0496</orcid><order>3</order></author><author><firstname>Yang</firstname><surname>Liu</surname><orcid>0000-0003-2486-5765</orcid><order>4</order></author></authors><documents/><OutputDurs/></rfc1807>
spelling v2 67209 2024-07-29 SVScanner: Detecting smart contract vulnerabilities via deep semantic extraction ba37dab58c9093dc63c79001565b75d4 0000-0003-2486-5765 Yang Liu Yang Liu true false 2024-07-29 MACS Journal Article Journal of Information Security and Applications 75 103484 Elsevier BV 2214-2126 Blockchain; Smart contract; Vulnerability detection; Deep learning; Deep semantic extraction 1 6 2023 2023-06-01 10.1016/j.jisa.2023.103484 COLLEGE NANME Mathematics and Computer Science School COLLEGE CODE MACS Swansea University This work was supported in part by the Shenzhen Colleges and Universities Stable Support Program No. GXWD20220817124251002, the Fundamental Research Funds for the Central Universities under Grant HIT.OCEF.2021007, the Joint Funds of the National Natural Science Foundation of China (Grant No. U22A2036), the Shenzhen Science and Technology Research and Development Fundation No. JCYJ20190806143418198, and the Guangdong Provincial Key Laboratory of Novel Security Intelligence Technologies (2022B1212010005). 2024-08-27T17:11:56.7751362 2024-07-29T12:50:12.3834661 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science Hengyan Zhang 1 Weizhe Zhang 0000-0003-4783-876x 2 Yuming Feng 0000-0001-8922-0496 3 Yang Liu 0000-0003-2486-5765 4
title SVScanner: Detecting smart contract vulnerabilities via deep semantic extraction
spellingShingle SVScanner: Detecting smart contract vulnerabilities via deep semantic extraction
Yang Liu
title_short SVScanner: Detecting smart contract vulnerabilities via deep semantic extraction
title_full SVScanner: Detecting smart contract vulnerabilities via deep semantic extraction
title_fullStr SVScanner: Detecting smart contract vulnerabilities via deep semantic extraction
title_full_unstemmed SVScanner: Detecting smart contract vulnerabilities via deep semantic extraction
title_sort SVScanner: Detecting smart contract vulnerabilities via deep semantic extraction
author_id_str_mv ba37dab58c9093dc63c79001565b75d4
author_id_fullname_str_mv ba37dab58c9093dc63c79001565b75d4_***_Yang Liu
author Yang Liu
author2 Hengyan Zhang
Weizhe Zhang
Yuming Feng
Yang Liu
format Journal article
container_title Journal of Information Security and Applications
container_volume 75
container_start_page 103484
publishDate 2023
institution Swansea University
issn 2214-2126
doi_str_mv 10.1016/j.jisa.2023.103484
publisher Elsevier BV
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Mathematics and Computer Science - Computer Science{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Mathematics and Computer Science - Computer Science
document_store_str 0
active_str 0
published_date 2023-06-01T17:11:55Z
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score 11.028798

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