Detection of SMS-based botnet threats in Android smartphones

In this project report, an algorithm is designed to find out whether an SMS message is sent out by the device owner. The algorithm is based on the writing habits of device owners and has some advantages of artificial immune system. If there is a message determined to be unauthorized send...

Full description

Saved in:
Bibliographic Details
Main Author: Yu, Xinyuan
Other Authors: Ma Maode
Format: Final Year Project
Language:English
Published: 2014
Subjects:
Online Access:http://hdl.handle.net/10356/60487
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-60487
record_format dspace
spelling sg-ntu-dr.10356-604872023-07-07T17:42:50Z Detection of SMS-based botnet threats in Android smartphones Yu, Xinyuan Ma Maode School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering In this project report, an algorithm is designed to find out whether an SMS message is sent out by the device owner. The algorithm is based on the writing habits of device owners and has some advantages of artificial immune system. If there is a message determined to be unauthorized sending, then there is a high possibility that the device is infected by an SMS-based Android botnet. Further actions such as finding out the malware can be taken. Meanwhile, unexpected in-coming messages like spam can also be examined briefly. Bachelor of Engineering 2014-05-27T08:19:58Z 2014-05-27T08:19:58Z 2014 2014 Final Year Project (FYP) http://hdl.handle.net/10356/60487 en Nanyang Technological University 77 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::Electrical and electronic engineering
spellingShingle DRNTU::Engineering::Electrical and electronic engineering
Yu, Xinyuan
Detection of SMS-based botnet threats in Android smartphones
description In this project report, an algorithm is designed to find out whether an SMS message is sent out by the device owner. The algorithm is based on the writing habits of device owners and has some advantages of artificial immune system. If there is a message determined to be unauthorized sending, then there is a high possibility that the device is infected by an SMS-based Android botnet. Further actions such as finding out the malware can be taken. Meanwhile, unexpected in-coming messages like spam can also be examined briefly.
author2 Ma Maode
author_facet Ma Maode
Yu, Xinyuan
format Final Year Project
author Yu, Xinyuan
author_sort Yu, Xinyuan
title Detection of SMS-based botnet threats in Android smartphones
title_short Detection of SMS-based botnet threats in Android smartphones
title_full Detection of SMS-based botnet threats in Android smartphones
title_fullStr Detection of SMS-based botnet threats in Android smartphones
title_full_unstemmed Detection of SMS-based botnet threats in Android smartphones
title_sort detection of sms-based botnet threats in android smartphones
publishDate 2014
url http://hdl.handle.net/10356/60487
_version_ 1772827488967196672