Anomaly Detection for Individual Sequences with Applications in Identifying Malicious Tools
Anomaly detection refers to the problem of identifying abnormal behaviour within a set of measurements. In many cases, one has some statistical model for normal data, and wishes to identify whether new data fit the model or not. However, in others, while there are normal data to learn from, there is...
Main Authors: | Shachar Siboni, Asaf Cohen |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-06-01
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Series: | Entropy |
Subjects: | |
Online Access: | https://www.mdpi.com/1099-4300/22/6/649 |
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