WHGDroid: Effective android malware detection based on weighted heterogeneous graph

Author:

Huang LuORCID,Xue JingfengORCID,Wang YongORCID,Liu ZhenyanORCID,Chen JunbaoORCID,Kong ZixiaoORCID

Funder

Major Scientific and Technological Innovation Project of Shandong Province

National Natural Science Foundation of China

National Key Research and Development Program of China

Publisher

Elsevier BV

Subject

Computer Networks and Communications,Safety, Risk, Reliability and Quality,Software

Reference67 articles.

1. Malicious application detection in android — A systematic literature review;Sharma;Comp Sci Rev,2021

2. Deep ground truth analysis of current android malware;Wei,2017

3. AndroZoo: Collecting millions of android apps for the research community;Allix,2016

4. GDroid: Android malware detection and classification with graph convolutional network;Gao;Comput Secur,2021

5. Mamadroid: Detecting android malware by building Markov chains of behavioral models (extended version);Onwuzurike;ACM Trans Priv Secur,2019

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