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Intelligent Mobile Malware Detection
book

Intelligent Mobile Malware Detection

by Tony Thomas, Roopak Surendran, Teenu John, Mamoun Alazab
December 2022
Intermediate to advanced content levelIntermediate to advanced
190 pages
4h 56m
English
CRC Press
Content preview from Intelligent Mobile Malware Detection

6Graph Convolutional Network for Detection

DOI: 10.1201/9781003121510-6

Graph Convolutional Network (GCN) is a graph representation learning approach that represents the structure and features of the graph in a low dimensional Euclidean space. GCN has found to give promising results in many real-world applications such as learning social networks[206], traffic prediction[220], drug response prediction [156], etc. as well as in Android malware detection [128]. In this chapter, we discuss the application GCN in Android malware detection and illustrate with the detection of obfuscated Android malware from system call graphs. We organised the chapter as follows. Section 6.2 gives an introduction of GCN and its applications in many real-world problems, ...

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Publisher Resources

ISBN: 9781000824988