A Novel Deep Learning Based Attention Mechanism for Android Malware Detection and Explanation

Tzung Han Jeng, Ying Ching Chang, Hui Hsuan Yang, Li Kai Chen, Yi Ming Chen

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

With the popularity of Android mobile devices and the increase of related applications, hackers regard it as the primary attack target. Therefore, malware detection is essential nowadays, and many of these studies employ deep learning techniques. In recent years, the attention mechanism provides corresponding attention weights for different hidden states, and it is widely used in many fields, such as machine translation and image markup. However, no research has applied the attention mechanism to Android malware analysis. Hence, this paper completes the goal of malware family classification based on the static features of Android applications. We compare the difference between the original convolutional neural network (CNN) and the addition of the attention mechanism. The final experimental results show that the attention mechanism improves the accuracy of the existing CNN model by 1.99% in static opcode images. In addition, we further adopt the occlusion sensitivity method to try to explain the classification model proposed in this paper. Finally, the experimental results of model interpretation show that the classification model can effectively identify the threat behavior of malware.

Original languageEnglish
Title of host publicationProceedings of the 10th International Conference on Computer and Communications Management, ICCCM 2022
PublisherAssociation for Computing Machinery
Pages226-232
Number of pages7
ISBN (Electronic)9781450396349
DOIs
StatePublished - 29 Jul 2022
Event10th International Conference on Computer and Communications Management, ICCCM 2022 - Okayama, Japan
Duration: 29 Jul 202231 Jul 2022

Publication series

NameACM International Conference Proceeding Series

Conference

Conference10th International Conference on Computer and Communications Management, ICCCM 2022
Country/TerritoryJapan
CityOkayama
Period29/07/2231/07/22

Keywords

  • Android Malware Classification
  • Attention Mechanism
  • CNN
  • Deep Learning
  • Model Interpretation

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