Feature processing recipes for machine learning
US-2015379423-A1 · Dec 31, 2015 · US
US11341237B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-11341237-B2 |
| Application number | US-201816498932-A |
| Country | US |
| Kind code | B2 |
| Filing date | Mar 26, 2018 |
| Priority date | Mar 30, 2017 |
| Publication date | May 24, 2022 |
| Grant date | May 24, 2022 |
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A computer implemented method to detect a computer system in execution operating in a manner that is not compliant with a definition of a set of compliant operations, the method including receiving a first set of records for the computer system, each record detailing an occurrence in the computer system during a first predetermined time period; generating a sparse distributed representation of the set of records to form a training set for a hierarchical temporal memory (HTM); training the HTM based on the training set in order that the trained HTM provides a model of the operation of the computer system during the predetermined time period; selecting at least a subset of operations in the set of compliant operations and causing the invocation of each operation of the subset in the computer system over a second predetermined time period to generate a second set of records of occurrences in the computer system; generating a sparse distributed representation of the set of records to form an input set for the trained HTM; executing the trained HTM based on the input set to determine a degree of recognition of the records of the input set; and responsive to a determination that a degree of recognition of one or more records of the input set is below a threshold degree, identifying the operation of the computer system as non-compliant.
Opening claim text (preview).
The invention claimed is: 1. A computer implemented method to detect a computer system in execution operating in a manner that is not compliant with a definition of a set of compliant operations, the method comprising: receiving a first set of records for the computer system, each record detailing an occurrence in the computer system during a first predetermined time period; generating a sparse distributed representation of the first set of records to form a training set for a hierarchical temporal memory (HTM); training the HTM based on the training set in order that the trained HTM provides a model of operation of the computer system during the first predetermined time period; selecting at least a subset of operations in the set of compliant operations and causing the invocation of each operation of the subset of operations in the computer system over a second predetermined time period to generate a second set of records of occurrences in the computer system; generating a sparse distributed representation of the second set of records to form an input set for the trained HTM; executing the trained HTM based on the input set to determine a degree of recognition of the records of the input set; and responsive to a determination that a degree of recognition of one or more records of the input set is below a threshold degree, identifying the operation of the computer system as non-compliant. 2. The method of claim 1 , further comprising, in response to an identification that the operation of the computer system is non-compliant, implementing a protective measure to protect against a malicious operation of the computer system. 3. The method of claim 2 , wherein the protective measure includes one or more of: causing a cessation of operation of the computer system; generating an event indicating the non-compliance of the computer system; suspending operation of the computer system; or executing one or more protective software components or remedial software components in the computer system. 4. A non-transitory computer-readable storage medium storing a computer program element comprising computer program code to, when loaded into a computer system and executed thereon, cause the computer system to perform the method as claimed in claim 1 . 5. A computer system comprising: a processor and memory storing computer program code for detecting a computer system in execution operating in a manner that is not compliant with a definition of a set of compliant operations, the method comprising: receiving a first set of records for the computer system, each record detailing an occurrence in the computer system during a first predetermined time period; generating a sparse distributed representation of the first set of records to form a training set for a hierarchical temporal memory (HTM); training the HTM based on the training set in order that the trained HTM provides a model of operation of the computer system during the first predetermined time period; selecting at least a subset of operations in the set of compliant operations and causing the invocation of each operation of the subset of operations in the computer system over a second predetermined time period to generate a second set of records of occurrences in the computer system; generating a sparse distributed representation of the second set of records to form an input set for the trained HTM; executing the trained HTM based on the input set to determine a degree of recognition of the records of the input set; and responsive to a determination that a degree of recognition of one or more records of the input set is below a threshold degree, identifying the operation of the computer system as non-compliant.
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