GSDroid: Graph Signal Based Compact Feature Representation for Android Malware Detection

作者：

Highlights：

• Modeling the system call sequence as a directed graph.

• Defining signals on the vertices of the system call graph.

• Extracting informative signals containing the system call dependencies.

• Using the signals as features of the machine learning classifiers.

摘要

•Modeling the system call sequence as a directed graph.•Defining signals on the vertices of the system call graph.•Extracting informative signals containing the system call dependencies.•Using the signals as features of the machine learning classifiers.

论文关键词：Malware,Android,System call,Graph signals,Obfuscation,Machine learning

论文评审过程：Received 8 November 2019, Revised 17 March 2020, Accepted 17 May 2020, Available online 29 May 2020, Version of Record 17 June 2020.

论文官网地址：https://doi.org/10.1016/j.eswa.2020.113581