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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| 主要作者: | |
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| 其他作者: | |
| 格式: | Final Year Project |
| 語言: | English |
| 出版: |
2014
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| 主題: | |
| 在線閱讀: | http://hdl.handle.net/10356/60487 |
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| 機構: | Nanyang Technological University |
| 語言: | English |
| 總結: | 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. |
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