Android App Performance Detection Framework Based on Dynamic Analysis of Function Call Graphs

2019 ◽  
Author(s):  
Jianing Zhang ◽  
Xueli Wang ◽  
Yunfang Chen
Keyword(s):  
Dynamic Analysis ◽  
Function Call ◽  
Call Graphs ◽  
Android App ◽  
Analysis Of Function

AppDNA: Profiling App Behavior via Deep-Learning on Function Call Graphs

2020 ◽  
pp. 1-1
Author(s):  
Anran Li ◽  
Shuangshuang Xue ◽  
Xiangyang Li ◽  
Lan Zhang ◽  
Jianwei Qian
Keyword(s):  
Deep Learning ◽  
Function Call ◽  
Call Graphs

The Empirical Analysis of Function-Call Graph

2013 ◽  
Vol 798-799 ◽  
pp. 663-667
Author(s):  
Yang Guo ◽  
Zheng Xu Zhao
Keyword(s):  
Complexity Analysis ◽  
Software Systems ◽  
Complex Network Theory ◽  
Call Graph ◽  
Function Call ◽  
Scripting Language ◽  
Analysis Of Function ◽  
Relationship Of ◽  
The Relationship ◽  
The Empirical Analysis

The relationship of function calling is the core of understanding and maintaining software systems for engineers, but so far there have been so little studies concentrating on this aspect. In this paper we presented a comprehensive study of analyzing the software systems at the function level with complex network theory, expecting for providing guidance to the maintaining and controlling of systems. We selected a simple scripting language Lua whose code is in appropriate size for complexity analysis mainly in degree distribution and community detection, and found the heavy-tail and high clustering phenomenon.

Learning features from enhanced function call graphs for Android malware detection

2021 ◽  
Vol 423 ◽  
pp. 301-307
Author(s):  
Minghui Cai ◽  
Yuan Jiang ◽  
Cuiying Gao ◽  
Heng Li ◽  
Wei Yuan
Keyword(s):  
Malware Detection ◽  
Android Malware ◽  
Android Malware Detection ◽  
Function Call ◽  
Call Graphs
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