Systems and methods for detecting data anomalies by analysing morphologies of known and/or unknown cybersecurity threats
This document describes a system and method for detecting anomalous data files and preventing detected anomalous data files from being stored in a data storage. In particular, the system and method detects anomalous data files by dividing each data file into blocks of data whereby entropy values are...
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| Main Authors | , |
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| Format | Patent |
| Language | English Hebrew |
| Published |
01.06.2022
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| Online Access | Get full text |
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| Summary: | This document describes a system and method for detecting anomalous data files and preventing detected anomalous data files from being stored in a data storage. In particular, the system and method detects anomalous data files by dividing each data file into blocks of data whereby entropy values are obtained for each block of data and this information is collated and subsequently used in a machine learning model to ascertain the security level of the data file. Figure 1 |
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| Bibliography: | Application Number: IL20210289367 |