Advanced 3D Visualization of Android Malware Families

被引:1
|
作者
Basurto, Nuno [1 ]
Quintian, Hector [2 ]
Urda, Daniel [1 ]
Calvo-Rolle, Jose Luis [2 ]
Herrero, Alvaro [1 ]
Corchado, Emilio [3 ]
机构
[1] Univ Burgos, Dept Ingn Informat, Escuela Politecn Super, Grp Inteligencia Computac Aplicada GICAP, Av Cantabria S-N, Burgos 09006, Spain
[2] Univ A Coruna, Dept Ind Engn, CTC, CITIC, Avda 19 Febrero S-N, Ferrol 15405, A Coruna, Spain
[3] Univ Salamanca, Dept Informat & Automat, Plaza Merced S-N, Salamanca 37008, Spain
来源
14TH INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE IN SECURITY FOR INFORMATION SYSTEMS AND 12TH INTERNATIONAL CONFERENCE ON EUROPEAN TRANSNATIONAL EDUCATIONAL (CISIS 2021 AND ICEUTE 2021) | 2022年 / 1400卷
关键词
Android malware; Malware families; Exploratory projection pursuit; Clustering; 3D visualization; NETWORK TRAFFIC DATA; NEURAL VISUALIZATION; INTRUSION;
D O I
10.1007/978-3-030-87872-6_17
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The number of attacks aimed at compromising smartphones in general, and Android devices in particular, is acknowledged as one of the main security concerns of these devices. Accordingly, a great effort has been devoted in recent years to deal with such incidents. However, scant attention has been paid to study the application of different visualization techniques for the analysis of malware. To bridge this gap, the present paper proposes the application of a novel technique called Hybrid Unsupervised Exploratory Plots (HUEPs) for the visualization of an Androidmalware dataset. Thanks to the advanced 3Dvisualization that is obtained, the proposed solution provides with an overview of the structure of the malware families, supporting the analysis of their internal organization. Experimentation has been carried out with the popular Android Malware Genome (Malgenome) dataset, obtaining promising results.
引用
收藏
页码:167 / 177
页数:11
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