Near Real-time Detection of Masquerade attacks in Web applications : catching imposters using their browsing behavor
This Thesis details the research on Machine Learning techniques that are central in performing Anomaly and Masquerade attack detection. The main focus is put on Web Applications because of their immense popularity and ubiquity. This popularity has led to an increase in attacks, making them the most...
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| Format: | Others |
| Language: | English |
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KTH, Kommunikationsnät
2016
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-183777 |