Behaviour based anomaly detection system for smartphones using machine learning algorithm
In this research, we propose a novel, platform independent behaviour-based anomaly detection system for smartphones. The fundamental premise of this system is that every smartphone user has unique usage patterns. By modelling these patterns into a profile we can uniquely identify users. To evaluate...
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| Format: | Thesis |
| Language: | English |
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2015
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| Online Access: | https://repository.londonmet.ac.uk/1199/1/Khurram.Majeed%20-%20Final%20thesis%202015.pdf |