Malware detection application for android using machine learning

Mobile phones especially smartphone is now an essential item in today’s society, granting user’s ability to perform tasks and brining convenience to its user. While IOS popularity is constantly growing, android still commands much of the market share and thus has been seen as a lucrative market f...

Full description

Saved in:
Bibliographic Details
Main Author: Loh, Jing Kai
Other Authors: Liu Yang
Format: Final Year Project
Language:English
Published: 2019
Subjects:
Online Access:http://hdl.handle.net/10356/77225
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-77225
record_format dspace
spelling sg-ntu-dr.10356-772252023-03-03T20:58:47Z Malware detection application for android using machine learning Loh, Jing Kai Liu Yang School of Computer Science and Engineering DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence Mobile phones especially smartphone is now an essential item in today’s society, granting user’s ability to perform tasks and brining convenience to its user. While IOS popularity is constantly growing, android still commands much of the market share and thus has been seen as a lucrative market for malicious actors to benefit off this huge market. Although a variety of methods exist to protect users from these malicious actors, those solutions tend to have negative drawbacks to them. Thus, new way to be able to detect these malwares is needed. In this project, the focus will be on the development of malware detection tool that will be located on the android platform. It will use the features located in the APK alongside machine learning to predict if an APK is malicious or benign. While certain aspect of the machine learning and deployment to android generated good outcome, several issues were identified during the development and testing. Bachelor of Engineering (Computer Science) 2019-05-17T08:38:50Z 2019-05-17T08:38:50Z 2019 Final Year Project (FYP) http://hdl.handle.net/10356/77225 en Nanyang Technological University 40 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
spellingShingle DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
Loh, Jing Kai
Malware detection application for android using machine learning
description Mobile phones especially smartphone is now an essential item in today’s society, granting user’s ability to perform tasks and brining convenience to its user. While IOS popularity is constantly growing, android still commands much of the market share and thus has been seen as a lucrative market for malicious actors to benefit off this huge market. Although a variety of methods exist to protect users from these malicious actors, those solutions tend to have negative drawbacks to them. Thus, new way to be able to detect these malwares is needed. In this project, the focus will be on the development of malware detection tool that will be located on the android platform. It will use the features located in the APK alongside machine learning to predict if an APK is malicious or benign. While certain aspect of the machine learning and deployment to android generated good outcome, several issues were identified during the development and testing.
author2 Liu Yang
author_facet Liu Yang
Loh, Jing Kai
format Final Year Project
author Loh, Jing Kai
author_sort Loh, Jing Kai
title Malware detection application for android using machine learning
title_short Malware detection application for android using machine learning
title_full Malware detection application for android using machine learning
title_fullStr Malware detection application for android using machine learning
title_full_unstemmed Malware detection application for android using machine learning
title_sort malware detection application for android using machine learning
publishDate 2019
url http://hdl.handle.net/10356/77225
_version_ 1759856006847791104