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...
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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 |