Symptom detection using behavior probability density, network monitoring of multiple observation value types, and network monitoring using orthogonal profiling dimensions
US10855708B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 5, 2018 |
| Grant date | Dec 1, 2020 |
| Priority date | — |
| Expiry date | Apr 5, 2038 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L67/306
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
One network monitoring system maintains both information regarding historical activity and emergent activity of the network. Comparison of recent activity of the network with historical activity allows the system to determine whether recent network activity is within the realm of normal. The system maintains data structures representing a p.d.f. for observable values of network parameters. Such data structures are maintained both for historical and for emergent activity of the network. Recent activity can be compared with the p.d.f. for historical activity to aid in determining whether that recent activity is within the realm of normal. Network activity not within the realm of normal can include values of observable network parameters too high or too low to be consistent with historical activity of the network, or other values too unlikely to be consistent with historical activity at the network.Another network monitoring device includes data structures for maintaining information regarding historical activity of a network and emergent activity of a network. Those data structures include multiple types of observable values as well as multiple types of combinations of multiple obser…
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.