SAMLDroid: A Static Taint Analysis and Machine Learning Combined High-Accuracy Method for Identifying Android Apps with Location Privacy Leakage Risks.

Hu, Guangwu; Zhang, Bin; Xiao, Xi; Zhang, Weizhe; Liao, Long; Zhou, Ying; Yan, Xia

Hu, Guangwu; Zhang, Bin; Xiao, Xi; Zhang, Weizhe; Liao, Long; Zhou, Ying; Yan, Xia.

Afiliación

Hu G; School of Computers, Shenzhen Institute of Information Technology, Shenzhen 518172, China.
Zhang B; Peng Cheng National Laboratory, Department of New Networks, Shenzhen 518000, China.
Xiao X; Peng Cheng National Laboratory, Department of New Networks, Shenzhen 518000, China.
Zhang W; Information Technology Division, Tsinghua Shenzhen International Graduate School, Shenzhen 518055, China.
Liao L; Peng Cheng National Laboratory, Department of New Networks, Shenzhen 518000, China.
Zhou Y; School of Computer Science and Technology, Harbin Institute of Technology, Harbin 150001, China.
Yan X; School of Computers, Shenzhen Institute of Information Technology, Shenzhen 518172, China.

Entropy (Basel) ; 23(11)2021 Nov 10.

Article en En | MEDLINE | ID: mdl-34828187

Palabras clave

android; dynamic taint analysis; location privacy protection; machine learning; static taint analysis

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Texto completo: 1 Base de datos: MEDLINE Tipo de estudio: Etiology_studies / Risk_factors_studies Idioma: En Revista: Entropy (Basel) Año: 2021 Tipo del documento: Article

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