Method for forecasting unstable policy enforcements
US8150788B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 2, 2006 |
| Grant date | Apr 3, 2012 |
| Priority date | — |
| Expiry date | Jun 10, 2028 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L41/16
- WIPO fieldTelecommunications
- WIPO sectorElectrical engineering
Abstract
Method for forecasting instable policy enforcement, is described, wherein a behavior dynamic Bayesian network (DBN) model and a policy finite state transducers extended with tautness functions and identities (TFFST) model is analytically composed to derive predictions of the consequences of enforcing a given policy, in particular to detect flip-flop configuration changes in a system. The method comprises the steps of—translating (1) the Bayesian network that holds the Behavior Model (BM) into a finite state transducers extended with tautness functions and identities (TFFST); —computing (2) the union of the Bayesian network (BM) and Policy Model (PM) finite state transducers extended with tautness functions and identities (TFFSTs); —composing (3) the finite state transducers extended with tautness functions and identities (TFFST) produced in the previous step with itself; and—detecting (4, 5, 6, 7) repetitions of events in the input and the output of every possible path; —if at least one repetition is found, detecting a possible instability (9).
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.