Publication: Smart Contract Vulnerability Detection: A Systematic Literature Review
| dc.conference.date | 2025-10-22 through 2025-10-23 | |
| dc.conference.location | Ankara | |
| dc.contributor.coauthor | Alici, Uzay Isin | |
| dc.contributor.coauthor | Tahir, Muhammad Usman | |
| dc.contributor.department | Department of Computer Engineering | |
| dc.contributor.department | KUIS AI (Koç University & İş Bank Artificial Intelligence Center) | |
| dc.contributor.kuauthor | Örsdemir, Alperen | |
| dc.contributor.kuauthor | Küpçü, Alptekin | |
| dc.contributor.schoolcollegeinstitute | College of Engineering | |
| dc.contributor.schoolcollegeinstitute | Research Center | |
| dc.date.accessioned | 2026-01-16T08:47:06Z | |
| dc.date.available | 2026-01-16 | |
| dc.date.issued | 2025 | |
| dc.description.abstract | Blockchain technology allows us to make trust-based transactions without third-party intermediaries. However, its rapidly developing nature brings serious security vulnerabilities. These vulnerabilities are a research priority because smart contracts (SC) maintained on the blockchain system cannot be modified or reversed after deployment. Our research indicates that Deep Learning (DL) and Machine Learning (ML) methodologies have recently become popular for detecting these vulnerabilities in SC. This systematic literature evaluation highlights its contributions compared to similar studies with the most common vulnerabilities. | |
| dc.description.fulltext | No | |
| dc.description.harvestedfrom | Manual | |
| dc.description.indexedby | Scopus | |
| dc.description.publisherscope | International | |
| dc.description.readpublish | N/A | |
| dc.description.sponsoredbyTubitakEu | N/A | |
| dc.identifier.doi | 10.1109/ISCTrkiye68593.2025.11224848 | |
| dc.identifier.embargo | No | |
| dc.identifier.isbn | 9798331557102 | |
| dc.identifier.quartile | N/A | |
| dc.identifier.scopus | 2-s2.0-105025193623 | |
| dc.identifier.uri | https://doi.org/10.1109/ISCTrkiye68593.2025.11224848 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14288/32125 | |
| dc.keywords | Blockchain | |
| dc.keywords | Machine learning | |
| dc.keywords | Smart contract | |
| dc.keywords | Vulnerability | |
| dc.language.iso | eng | |
| dc.publisher | Institute of electrical and electronics engineers inc. | |
| dc.relation.affiliation | Koç University | |
| dc.relation.collection | Koç University Institutional Repository | |
| dc.relation.ispartof | 2025 18th International Conference on Information Security and Cryptology Iscturkiye 2025 Proceedings | |
| dc.relation.openaccess | No | |
| dc.rights | Copyrighted | |
| dc.subject | Information systems | |
| dc.subject | Blockchain | |
| dc.title | Smart Contract Vulnerability Detection: A Systematic Literature Review | |
| dc.type | Conference Proceeding | |
| dspace.entity.type | Publication | |
| person.familyName | Örsdemir | |
| person.familyName | Küpçü | |
| person.givenName | Alperen | |
| person.givenName | Alptekin | |
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