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Simandro-plus: On computing similarity of android applicationsopen access

Authors
Hamedani, Masoud ReyhaniKim, Sang-Wook
Issue Date
Sep-2021
Publisher
COMSIS CONSORTIUM
Keywords
android applications; apps data mining; feature extraction; API calls; manifest information; similarity computation
Citation
COMPUTER SCIENCE AND INFORMATION SYSTEMS, v.18, no.4, pp.1219 - 1238
Indexed
SCIE
SCOPUS
Journal Title
COMPUTER SCIENCE AND INFORMATION SYSTEMS
Volume
18
Number
4
Start Page
1219
End Page
1238
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/140975
DOI
10.2298/CSIS210208036H
ISSN
1820-0214
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.
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COLLEGE OF ENGINEERING (SCHOOL OF COMPUTER SCIENCE)
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