Anomaly Detection in User Authentication Logs using Long Short-Term Memories and Word Embeddings
As an increasing amount of sensitive data is being stored at various connected services and platforms, the need for robust user authentication mechanisms that maintain the users’ safety and personal integrity online are growing. Meanwhile, too strict and simplistic user authentication policies may r...
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| Format: | Others |
| Language: | Swedish |
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KTH, Skolan för elektroteknik och datavetenskap (EECS)
2020
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-279297 |