Symptom detection using behavior probability density, network monitoring of multiple observation value types, and network monitoring using orthogonal profiling dimensions
US9961094B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 25, 2008 |
| Grant date | May 1, 2018 |
| Priority date | — |
| Expiry date | Nov 19, 2028 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L67/306
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
One network monitoring system maintains information regarding historical activity and emergent activity of the network. Comparison of recent with historical activity allows the system to determine whether recent activity is within the realm of normal. The system maintains data structures representing a p.d.f. for observable values of network parameters. Another network monitoring device includes data structures for maintaining information regarding historical and emergent activity of a network. This network monitoring device maintains those data structures including information regarding historical and emergent activity of a network only for those source/destination pairs, and only for those nodes, for which maintaining that information would be substantially meaningful. Yet another network monitoring system includes data structures for maintaining information regarding historical and emergent activity of a network that maintains those data structures only for those combinations of more than one of those multiple profile dimensions for which maintaining that information would be substantially meaningful.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.