Purging Sensitive Data in Logs Using Machine Learning
This thesis investigates how to remove personal data from logs using machine learning when rule-based scripts are not enough and manual scanning is too extensive. Three types of machine learning models were created and compared. One word model using logistic regression, another word model using LSTM...
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| Format: | Others |
| Language: | English |
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Uppsala universitet, Institutionen för informationsteknologi
2020
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-411610 |