Finding anomalies in software licensing logs using unsupervised methods
Cryptolens is world leading software licensing platform. As a result, it has large amounts of data that is generated when each end user application at- tempts to verify a license key. Being able to differentiate between normal and anomalous data can provide software vendors with a way to detect frau...
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| Format: | Others |
| Language: | English |
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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-277952 |