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.
History
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