Simandro-plus: On computing similarity of android applications
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Hamedani, Masoud Reyhani | - |
dc.contributor.author | Kim, Sang-Wook | - |
dc.date.accessioned | 2022-07-06T13:01:59Z | - |
dc.date.available | 2022-07-06T13:01:59Z | - |
dc.date.created | 2021-12-08 | - |
dc.date.issued | 2021-09 | - |
dc.identifier.issn | 1820-0214 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/140975 | - |
dc.description.abstract | In this paper, we propose SimAndro-Plus as an improved variant of the state-of-the-art method, SimAndro, to compute the similarity of Android applications (apps) regarding their functionalities. SimAndro-Plus has two major differences with SimAndro: 1) it exploits two beneficial features to similarity computa-tion, which are totally disregarded by SimAndro; 2) to compute the similarity score of an app-pair based on strings and package name features, SimAndro-Plus considers not only those terms co-appearing in both apps but also considers those terms appearing in one app while missing in the other one. The results of our extensive ex-periments with three real-world datasets and a dataset constructed by human experts demonstrate that 1) each of the two aforementioned differences is really effective to achieve better accuracy and 2) SimAndro-Plus outperforms SimAndro in similarity computation by 14% in average. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | COMSIS CONSORTIUM | - |
dc.title | Simandro-plus: On computing similarity of android applications | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Kim, Sang-Wook | - |
dc.identifier.doi | 10.2298/CSIS210208036H | - |
dc.identifier.scopusid | 2-s2.0-85118956400 | - |
dc.identifier.wosid | 000718010500007 | - |
dc.identifier.bibliographicCitation | COMPUTER SCIENCE AND INFORMATION SYSTEMS, v.18, no.4, pp.1219 - 1238 | - |
dc.relation.isPartOf | COMPUTER SCIENCE AND INFORMATION SYSTEMS | - |
dc.citation.title | COMPUTER SCIENCE AND INFORMATION SYSTEMS | - |
dc.citation.volume | 18 | - |
dc.citation.number | 4 | - |
dc.citation.startPage | 1219 | - |
dc.citation.endPage | 1238 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | Y | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Information Systems | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Software Engineering | - |
dc.subject.keywordAuthor | android applications | - |
dc.subject.keywordAuthor | apps data mining | - |
dc.subject.keywordAuthor | feature extraction | - |
dc.subject.keywordAuthor | API calls | - |
dc.subject.keywordAuthor | manifest information | - |
dc.subject.keywordAuthor | similarity computation | - |
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