Collaborative filtering anomaly detection explainability
US-11483327-B2 · Oct 25, 2022 · US
US11960601B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-11960601-B2 |
| Application number | US-202217961569-A |
| Country | US |
| Kind code | B2 |
| Filing date | Oct 7, 2022 |
| Priority date | Dec 25, 2019 |
| Publication date | Apr 16, 2024 |
| Grant date | Apr 16, 2024 |
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Official abstract text for this publication.
A system for managing an infrastructure includes extraction engine is in communication with a managed infrastructure that includes physical hardware. A signalizer engine includes one or more of an NMF engine (Non-negative matrix factorization), a k-means clustering engine (a method of vector quantization), and a topology proximity engine. The signalizer engine determines one or more common characteristics of events and produces clusters of events relating to the failure or errors in the infrastructure. The signalizer engine uses graph coordinates and optionally a subset of attributes assigned to each event to generate one or more clusters to bring together events whose characteristics are similar. One or more interactive displays provide a collaborative interface coupled to the extraction and the signalizer engine with a collaborative interface (UI) for decomposing events from the infrastructure. The events are converted into words and subsets to group the events into clusters that relate to security of the managed infrastructure. In response to grouping the events physical changes are made to at least a portion of the physical hardware. In response to production of the clusters security of the managed infrastructure is maintained.
Opening claim text (preview).
What is claimed is: 1. A system for managing an infrastructure, comprising: an extraction engine in communication with a managed infrastructure that includes physical hardware; a signalizer engine that includes one or more of an NMF engine (Non-negative matrix factorization), a k-means clustering engine (a method of vector quantization), and a topology proximity engine, the signalizer engine determining one or more common characteristics of events and producing clusters of events relating to the failure or errors in the infrastructure, the signalizer engine using graph coordinates and optionally a subset of attributes assigned to each event to generate one or more clusters to bring together events whose characteristics are similar; one or more interactive displays that provide a collaborative interface coupled to the extraction and the signalizer engine with a collaborative interface (UI) for decomposing events from the infrastructure; converting the events into words and subsets to group the events into clusters that relate to a failure or an actionable problem in the physical hardware managed infrastructure directed to supporting the flow and processing of information of the managed infrastructure, in detection of the failure or actionable problem in the physical hardware physical changes are made to at least a portion of the physical hardware; and wherein in response to production of the clusters security of the managed infrastructure is maintained. 2. The system of claim 1 , wherein security includes at least one of managed infrastructure: breach, intrusion or propagation. 3. The system of claim 1 , wherein security includes managed infrastructure: access control, intrusion detection and threat propagation. 4. The system of claim 1 , wherein security includes authentication of a subject. 5. The system of claim 1 , wherein security includes authentication of a subject. 6. The system of claim 5 , wherein authorization specifies what a subject can do. 7. The system of claim 1 , wherein security includes audit. 8. The system of claim 1 , where security includes identification and authentication to ensure that only authorized subjects can access the managed infrastructure. 9. The system of claim 1 , wherein security includes access approval grants to the managed infrastructure by association of users with resources that they are allowed to access, based on an authorization policy. 10. The system of claim 1 , wherein machine learning is utilized to educate the system. 11. The system of claim 1 , wherein the system learns from prior situations. 12. The system of claim 11 , wherein the prior situations are used to discard things that are not relevant to a situation. 13. The system of claim 11 , wherein the system focuses on one or more elements of a situation. 14. The system of claim 1 , wherein the user interface is configured to provide a summary view of a situation. 15. The system of claim 1 , wherein the interface is configured to provide a summary view of the plurality of situations. 16. The system of claim 1 , further comprising: filtering to reduce a number of situations displayed based on attributes. 17. The system of claim 1 , wherein the system is configured to allow users to create a user post. 18. The system of claim 1 , wherein the system is configured to provide chat conversations relative to a situation. 19. The system of claim 1 , further comprising: a team room that includes members. 20. The system of claim 19 , wherein a situation is linked to the team room.
involving event detection and direct action · CPC title
Test or assess a computer or a system · CPC title
with fixed number of clusters, e.g. K-means clustering · CPC title
Single-class perspective, e.g. one-against-all classification; Novelty detection; Outlier detection · CPC title
Standardised network management protocols, e.g. simple network management protocol [SNMP] · CPC title
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