SDAC: A slow-aging solution for Android malware detection using semantic distance based API clustering

• Main Authors: XU, Jiayun, LI, Yingjiu, DENG, Robert H., KE, Xu
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2022
• Subjects: Android Malware Detection; Mobile Security; Information Security
• Online Access: https://ink.library.smu.edu.sg/sis_research/5996; https://ink.library.smu.edu.sg/context/sis_research/article/6999/viewcontent/SDAC_av_2020.pdf
• Institution: Singapore Management University

A novel slow-aging solution named SDAC is proposed to address the model aging problem in Android malware detection, which is due to the lack of adapting to the changes in Android specifications during malware detection. Different from periodic retraining of detection models in existing solutions, SD...