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https://hdl.handle.net/10356/60487
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Yu, Xinyuan | |
dc.date.accessioned | 2014-05-27T08:19:58Z | |
dc.date.available | 2014-05-27T08:19:58Z | |
dc.date.copyright | 2014 | en_US |
dc.date.issued | 2014 | |
dc.identifier.uri | http://hdl.handle.net/10356/60487 | |
dc.description.abstract | 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. | en_US |
dc.format.extent | 77 p. | en_US |
dc.language.iso | en | en_US |
dc.rights | Nanyang Technological University | |
dc.subject | DRNTU::Engineering::Electrical and electronic engineering | en_US |
dc.title | Detection of SMS-based botnet threats in Android smartphones | en_US |
dc.type | Final Year Project (FYP) | en_US |
dc.contributor.supervisor | Ma Maode | en_US |
dc.contributor.school | School of Electrical and Electronic Engineering | en_US |
dc.description.degree | Bachelor of Engineering | en_US |
item.fulltext | With Fulltext | - |
item.grantfulltext | restricted | - |
Appears in Collections: | EEE Student Reports (FYP/IA/PA/PI) |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Final Year Project_Yu Xinyuan.pdf Restricted Access | Main article | 1.83 MB | Adobe PDF | View/Open |
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