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Data-Driven Android Malware Intelligence with Machine Learning through Static Analysis

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posted on 2023-08-11, 03:12 authored by Junyang Qiu
This study proposes a series of novel methods to analyze the Android malware, including a light-weight method to identify those Android malware with high impact, alternative research problem on automatically identifying the security or privacy involved capabilities of any detected Android malware, and Natural Language Processing based detection methods.

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Pagination

192 p.

Open access

  • Yes

Language

English

Degree type

Doctorate

Degree name

Ph.D.

Copyright notice

All rights reserved

Editor/Contributor(s)

Wei Luo, Leo Yu Zhang

Faculty

Faculty of Science, Engineering and Built Environment

School

School of Information Technology

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