Semantics-aware Android malware classification using weighted contextual API dependency graphs

• Main Authors: ZHANG, Mu, DUAN, Yue, YIN, Heng, ZHAO, Zhiruo
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2014
• Subjects: Android; Anomaly detection; Graph similarity; Malware classification; Semantics-aware; Signature detection; Information Security
• Online Access: https://ink.library.smu.edu.sg/sis_research/8176; https://ink.library.smu.edu.sg/context/sis_research/article/9179/viewcontent/Zhang_DroidSIFT_CCS14.pdf
• Institution: Singapore Management University

The drastic increase of Android malware has led to a strong interest in developing methods to automate the malware analysis process. Existing automated Android malware detection and classification methods fall into two general categories: 1) signature-based and 2) machine learning-based. Signature-b...