SimAndro-plus: On computing similarity of android applications

Computer Science and Information Systems

article

Masoud Reyhani Hamedani¹  Sang-Wook Kim² 

[1] Department of Computer Science, BK21PLUS Program for Advanced AI Research and Education, Hanyang University;Department of Computer and Software, Hanyang University

关键词: android applications;    apps data mining;    feature extraction;    API calls;    manifest information;    similarity computation;   

DOI  :  10.2298/CSIS210208036H

学科分类：土木及结构工程学

来源: Computer Science and Information Systems

【 摘 要 】

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 computation, 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 experiments 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.

【 授权许可】

CC BY-NC-ND